Copyright Ownership for Outputs by Artificial Intelligence
I. From Machine Learning to Deep Learning, AI is Thinking
The famous philosopher, mathematician and physicist René Descartes from France in the 17th century said: “Cogito ergo sum”. This is considered a radical skepticism in the context of philosophy. When a philosopher raises the question that how one person can be sure of his/her existence, it is not about the feeling, cognition or experience with the world. Rather, it is about thinking.
Artificial intelligence works like interconnected human neurons, with the logics and algorithms built with codes and processed with high speed. The nutrient it requires is the massive amount of data. In the past, artificial intelligence only works according to the logical setup and instructions from developers. In the era of machine learning today, humans have empowered machines with the capability of processing. This is achieved not by writing comprehensive and exhaustive rules. Rather, it is by making machines able to figure out rules on their own. In other words, all we need to do is to prepare data. Machines can be trained to think and judge. Artificial intelligence will eventually generate its outputs and start to create contents.
Image recognition is a good illustration of how machine learning works, as part of the wider AI. The identification of cats is a classic example. A large number of pictures and photos of cats are provided, with descriptions of features to train machines. The purpose is to train machines into building their own criteria as to what cats are about. According to the Proceedings of the Seventh IEEE International Conference on Computer Vision in 1999, image recognition is processed with the technology similar with neurons for visual recognition by primates.
Twenty years on, machine learning (as part of artificial intelligence) has come a long way. The number of neural network models, built on neurons, has grown exponentially. Deep learning has been developed with layers of neurons. There are links only between neighbouring layers to reduce the number of variables and enhance the speed of computing. In the context of machine learning, learning is about the selection of an optimal solution from multiple variables. Big data is fed into the man-made neural networks constructed in the computers so that they are constantly trained and learning. Hung-yi Lee, a scholar specialized in artificial intelligence in Taiwan, provides a simple analogy for this technology. Machine learning is like a human brain with one layer of neurons; whilst deep learning works with many neurons and hence can learn on their own, make judgement and establish logics. In other words, artificial intelligence is capable of analysing, identifying and decision-making on its own, and human is becoming less relevant in this process. Artificial intelligence is able to think. This is not only a factual description, but also a trigger to fundamentally change the legal institution of nations.
II. Who Owns the Outputs Generated with Thinking?
Over the long run, whether the legal institution and the society are ready to give artificial intelligence “quasi” right of personality is a topic worth exploring. In the immediate term, what normative models should be used to define the ownership of copyrights for the outputs and creations by artificial intelligence?
The decision on copyright ownership has always been a hot topic in the field of intellectual property. The legal system in the U.S. describes the protected entity for copyright as “the fruits of the intellectual labor”. Article 798 of the Civil Code in Taiwan says, “Fruits that fall naturally on an adjacent land are deemed to belong to the owner of such land, except if it is a land for public use”. The fruit, i.e. outputs generated by artificial intelligence, also falls into the society of rules governed by rights and obligations. Of course, it is necessary to first define and regulate the entity that owns the rights. This begs many fundamental questions in the context of copyright laws. Who owns the rights? The developers (perhaps on a pro-rata basis), data owners, or the companies that provide infrastructure to developers? Once the boundary of imagination and reality is pushed further, the ownership of rights is no longer limited to human creators and may be extended to artificial intelligence. Moreover, it is possible for governments to insist that copyrights are only for human creations and the intellectual property created by artificial intelligence may fall into the public domain and hence fall unprotected legally, given the significance of public interest involved.
This paper explores the copyright ownership for the outputs generated by artificial intelligence by systemically observing the real-life cases in the industry. This is followed with an analysis on the perspectives from the European Union, the United Kingdom and the United States. The purpose is to examine the contexts and normative models of artificial intelligence and copyrights and finally develop a preliminary framework for the regulation of artificial intelligence now and the future.
Two. Creativity Capability of Artificial Intelligence Is a Reality
With artificial intelligence and Big Data driving the development of industries, the exploration with the construction and normative models of the legal system should start with the reflection of social values, so as to achieve the purpose of social order with laws and regulations.
The construction of the legal system for technology should be anchored on the observation of facts, given the rapid advancement and evolution of emerging technologies. The fact today is that artificial intelligence is being used for art creations such as musical composition, poetry and painting. Developers train artificial intelligence with massive data and enable deep learning to grasp the essence of artworks in order to generate outputs. Whether the ultimate purpose is commercial profitability or not, most of these outputs have reached a certain level of quality. Below is a brief introduction of creative techniques and new business models of artificial intelligence in music composition, poetry writing, painting and news writing.
I. Original Music Generated with Deep Learning: Fast and User-friendly
The vibrant development of the Internet has created an online celebrity economy. Youtubers, Internet personalities, cyberstars, Wanghong (or internet fame in Mandarin) produce films or release podcasts to attract the audience for direct/indirect and commercial/non-profit-seeking purposes. The production of such films and live broadcasting, or the creation of original online or PC games creates the demand for background music or sound effects. Ed Newton-Rex, who earned a bachelor of arts degree in music from University of Cambridge, founded JukeDeck after he went to a computer science class in Harvard University. JukeDeck is an online music generator, developed with deep learning(as part of artificial intelligence). This paper believes that JukeDeck meets the industry demand with two offerings:
The algorithm design by Ed Newton-Rex with artificial intelligence is different from the generation of background music and other music by the websites that use loop audio files. JukeDeck generates music pleasing to the ears with one tone at a time and avoids repetitions by analyzing musical forms, harmonies and tones with deep learning, so that the users in pursuit of originality and unique can acquire the musical materials within approximately 30 seconds, without worrying that they sound similar with others.
JukeDeck offers flexibility in the length of music, up to five minutes depending on the preference of users. An extension is possible by mixing up different fragments. It is also possible to define musical styles and formats, e.g. piano, folksongs, electro and ambient music, as well as the feelings to be aroused, such as uplifting and melancholic. The music generated by deep learning is different from the free or paid music databases which use the so-called canned music and suffer the problems of mismatches between the film length and music length.
(II) Amper Music
Amper Music was founded by the Hollywood songwriter Drew Silverstein (founder/CEO), Sam Estes and Michael Hobe with the ambition to take a step further from music generation by artificial intelligence. In the spring of 2018, the company raised another $4 million for the development of music composition with artificial intelligence, the expansion of international markets and the recruitment of more talents. In the press release, Drew Silverstein said, “Amper’s rapid growth is a testament to how the massive growth of media requires a technological solution for music creation. Amper’s value stems not only from the means to collaborate and create music through AI, but also from its ability to help power media at a global scale.”
Similar with JukeDeck’s appeal to the public, Amper Music’s artificial intelligence allows users with no musical experience to create real-time and order original music. It supports all the media formats. All is required is the choice for rhythms, styles and musical instruments desired. Meanwhile, Amper Music posits that its music is royalty free, and comes with a global, perpetual license when synced to the outputs. In other words, users do not have to worry about legal procedures or financial costs.
II. Writing Pens Take Flight: A Challenge to the Fundamental of Literary Creation and Trigger for Labor Transformation
Neuhumanismus (or Neohumanism) is about the achievement of self-mastery and humanity ideals through the study of classics. Compared with humanism, neohumanism places a greater focus on emotional expression and artistic creation. It also emphasizes the importance of language learning to self-realization of individuals. After studying the works of 519 contemporary poets in the Chinese society, artificial intelligence has published modern poetry and made successful inroads to the world of literature traditionally driven by emotions and imaginations. In fact, it has posed a credible challenge to the human-centric humanism where only humans are endowed with the gift of artistic creativity. Artificial intelligence has been nominated for literary awards, evidenced of the quality of outputs generated by deep learning. With the support of massive data and analytics, it is only a matter of time for artificial intelligence to possess the literary creativity comparable to humans.
However, the concern for originality in literature and the issues surrounding plagiarism and copyrights are the key determinants that influence of literary creation by artificial intelligence. This begs the questions about the ethics of literary creation. It is necessary to start with an understanding of how artificial intelligence creates, before the analysis of ethical and regulatory frameworks.
(I) Xiaoice’s Collection “Sunshine Misses Windows”
Xiaoice is the chatbot launched by Microsoft’s Software Technology Center Asia (STCA) in China in 2014. In 2017, Xiaoice published her collection of poems “Sunshine Misses Windows”, written by looking at pictures. The deep learning algorithms behind were co- developed by Wu Zhao-Zhong and Cheng Wen-Feng, two students in the Graduate Institute of Networking and Multimedia, National Taiwan University.
The artificial intelligence writes poetry with the following methodology:
The above is a summary of Xiaoice’s creative journey. Microsoft claims that the collection of poems was 100% written by Xiaoice, and it is the first collection of poems 100% written by artificial intelligence in history. The poems were not edited by humans and wrong characters were maintained as they were. The title “Sunshine Misses Windows” was also named by Xiaoice herself. Despite all these, the originality and even the most fundamental “literality” of these poems are still questioned.
At the end of 2018, the Research Institute for Humanities and Social Sciences, Ministry of Science & Technology and National Taiwan University organized the forum “Culture and Technology II: AI’s Literature Dream — Sunshine Misses Windows. Does Humanity Have a Boundary?” The professor in the Department of Chinese Literature, National Taiwan University and the poet Tang Juan discussed Xiaoice’s works and commented as a critic of contemporary poetry. Xiaoice uses extensively the same vocabulary (such as the beach). Unable to use punctures, she can only break sentences and lines. Most importantly, her writings do not reflect our times and real experience. In other words, Xiaoice’s poems do not possess the unique perspective and soul of poets and literary characters. This may be the outcome of her reading of works from 519 poets from the 1920s. As a result, she is not able to connect with our times and real life and finds it difficult to resonate the shared emotions of people today. Tang Juan’s comment is more than just about literature. It is also about the selection and sourcing of training data, a prerequisite for the development of artificial intelligence, as well as the cost and consideration for copyright licensing.
The research and development by corporates in artificial intelligence requires the corresponding and suitable training materials, particularly in the domain of literature. As commented by the poet Tang Juan, it requires extensive sources of contemporary works. It means the increasing difficulty to circumvent the works still protected by copyrights. If this cost consideration remains a hurdle, it is impossible to make improvements in further research. Put differently, the composition of training data is potentially a cost concern for copyright licensing. Before the legal system becomes well-developed and the establishment of consensus on the issues concerning training data, the possible infringement is an absolutely necessary balancing act for any robust developers and companies involved in artificial intelligence.
(II) Yuurei Raita’s “The Day A Computer Writes A Novel”
In 2013, Nikkei started to offer the Nikkei Hoshi Shinichi Literary Award to outstanding short Si-Fi novels, as a tribute to the late science fiction writer Hoshi Shinichi. Three years later, Yuurei Raita’s “The Day A Computer Writes A Novel” appeared on Nikkei’s list of acceptance for competition. Miss Yoko is the leading character in this 2000-character short sci-fi novel. Raita-kun is in fact an artificial intelligence team “Wagamama artificial intelligence as a writer” led by Hitoshi Matsubara, President of the Japanese Society of Artificial Intelligence and a professor in Future University. Below is a description of their deep learning techniques:
The team provides training data as the learning basis for artificial intelligence. (For this competition, the data is approximately 1,000 short stories written by Hoshi Shinichi.) The purpose is to analyze the frequently used words, novel structures and characters.
The team integrates the analyzed data with online information, storyline programs, human emotions and settings, and decides on characters, contents and plots. Researchers provide three instructions, i.e., when, the weather, doing what so that artificial intelligence automatically generates detailed and tangible contents.
Artificial intelligence refines the details and polishes the texts, to generate the new story by Hoshi Shinichi with fragments such as: “The same temperature and humidity in the room is maintained as usual. Yoko sits idly on the sofa, dishevelled and playing a dull game uninterested.”
The procedures of novel contents generation described above indicate that artificial intelligence still relies on humans for setups and assistance. In contrast with the claim by the Microsoft team that Xiaoice is 100% artificial intelligence, the team in Japan confessed that artificial intelligence writing is still in a nascent stage.
At least in literature types such as novels, artificial intelligence still needs appropriate guidance from humans for necessary writing elements, in order to generate and connect fragments to establish the finalized pieces. In general, artificial intelligence can only be held responsible for 20% of work. However, the development of technology continues at its pace. When it is no longer easy to differentiate a piece of creative writing is by humans or by machines, the limitation of copyright protection to human’s creative works will be an obsolete approach.
(III) Tencent: Robot “Dreamwriter”
The above two AI writing teams focus on creative literature. In China, Tencent has developed Dreamwriter to rapidly generate news products. In the 2018 International Media Conference in Singapore hosted by the East West Center, a think tank in the U.S. at the end of June 2018, Tencent demonstrated its translation engine. Speakers spoke in Chinese and the engine did simultaneous translation into English shown on the projector screen.
Tencent’s artificial intelligence “Dreamwriter” project started as a push engine for news flashes such as sports events. It later extended into financial and economic data and reporting, a field with extensive data and conducive to AI development and ML acceleration. Dreamwriter only takes half to one second to generate a piece of news. It can generate approximately 5,000 articles per day, equivalent to the output of 208 journalists. This implies a transformation of labor requirements in journalism. Human reporters will be involved in in-depth coverage that requires creativity, industry knowledge and judgement, whilst basic and factual reporting will be completed by artificial intelligence.
III. Brave New Work for Paintings: Rights Ownership in the Presence of Sophisticated Deep Learning
In the autumn/winter of 2018, the Paris-based AI team Obvious presented “Portrait of Edmond Belamy” in Prints & Multiples auction in New York. This painting was sold for a surprising high price of $432,000 (or over NT$13 million), as the first AI-generated painting being auctioned. The Obvious team focuses on Generative Adversarial Network (GAN), a hot topic for the development of deep learning.
(I) Technique to Improve Deep Learning: Generative Adversarial Network (GAN)
The GAN technique was developed by Ian Goodfellow in 2014 to promote and enhance deep learning by massively reducing the amount of training data required and cutting down on human intervention, assistance and involvement.
The GAN method can be illustrated in a high level by referring to the classical example of the image recognition for cats previously mentioned. The neural network model (as a deep learning technique) enables artificial intelligence to learn how to identify cats from a massive volume of pictures of cats. However, it is necessary for humans to train the machine by providing signs and feature descriptions for each picture. In contrast, the GAN technique is about the training of two competing networks, i.e., a generative network and a discriminant network. The generative network is responsible for generating the pictures that resemble real cats (i.e. made-believe cats) and the discriminant network reviews and determine whether the pictures are authentic. The two networks enhance capabilities by competing with each other. The idea is to improve the learning and competence of deep learning.
(II) Application in the Art of Paintings
The GAN method can be used to generate paintings such as “Portrait of Edmond Belamy”. It can also identify fake paintings. Founder/CEO Jensen Huang of Nvidia, a leading artificial intelligence company, said in a forum that the GAN technique allows one neural network to paint the pictures in the Picasso style and the other network to identify images and paintings with unprecedented discriminant capabilities. The seventh year of the Lumen Prize gave the biggest award to a nude portrait generated with the GAN technique. The GAN applications have been mushrooming – turning a scribble into an art, a low-definition picture into a high-definition one, an aerial graph into a photo.
Below is a brief description of the concepts and procedures for the Obvious research team’s completion of “Portrait of Edmond Belamy”:
(III) Ownership of Rights to High Economic Value of Artworks
The winning of the Lumen Prize in the UK by the nude portrait generated by artificial intelligence and the surprisingly high auction price paid for Portrait of Edmond Belamy are the testimony of the artificial intelligence’s creative capability. The ownership of the right to the monetary value of these artworks is a topic worthy of exploration.
“The development team ‘Obvious’ for ‘Portrait of Edmond Belamy’ posits that if the author is the person who paints the painting, it is artificial intelligence. If the author is the person who seeks to convey a message, it is us. The human’s role is being undermined as deep learning technology becomes increasingly sophisticated. Going forward, can artificial intelligence become the owner of rights? What should be the regulatory framework for now? At this juncture, this paper conducts an international comparison by examining how different governments consider the emerging legal issues.
Three. Copyright Ownership of Works Created by Artificial Intelligence
The explanatory ruling by the Copyright Division, Intellectual Property Office, Ministry of Economic Affairs issued in 2018 has expressed the Taiwan government’s stance on the issue of whether the outputs generated by artificial intelligence can enjoy copyrights. Below is the summary:
The above explanatory ruling seems to position artificial intelligence completely as a tool. However, the above example suggests an obvious trajectory for the creative journey for deep learning as an artificial intelligence technique. In the current stage and the foreseeable future, the description that robot analytics are straight mechanical operations is completely obsolete given that artificial intelligence is being applied in industry with dramatically reduced (or even completely without) human intervention and participation.
It is a worthwhile exercise to explore the international thinking regarding how the legal framework should address the ownership of rights for outputs generated with deep learning as an artificial intelligence technique and the derived services/products by either opening up new legal structures or simply extending on the existing system.
I. European Union
(I) European Parliament: Establishment of Electronic Personhood?
The European Parliament's Committee on Legal Affairs (JURI) passed a report on January 12, 2018 to provide suggestions to the Civil Law Rules on Robotics and urge the European Commission to set up laws and regulations governing robots and artificial intelligence by defining electronic personhood, similar with legal personhood for corporates as litigation entities for any issues associated with rights and obligations of artificial intelligence.
(II) Court of Justice of the European Union: Only Works Accomplished by Humans Eligible for Protection
The Court of Justice of the European Union’s landmark case Infopaq International A/S v. Danske Dagbaldes Foreningsuggests that copyrights are only applicable for original works, with originality reflecting the “author’s own intellectual creation.” The general interpretation is that such works should reflect the author’s personality. Hence, only human authors meet this criterion. The third paragraph of Article 1 of the Directive 2009/24/EC also clearly states that only works that are the authors’ own intellectual creation enjoys eligibility for protection.
(III) Data Protection: GDPR and Declaration of cooperation on Artificial Intelligence
The General Data Protection Regulation (GDPR) in European Union attracted significant attention among the companies active in the EU market in 2018. In fact, the GDPR provides comprehensive and representative regulations that have direct influence on technological development of artificial intelligence training, as well as legal protection and right construction on data, the crude oil for deep learning.
Below are a few examples:
The data subject has the right to receive his/her personal data from the data controller in a structured, commonly used and machine-readable format. This helps the industry to establish metadata and forms the basis of the database for artificial intelligence training. The consistency of metadata will enhance the training.
The data subject has the right not to be subject to a decision based solely on automated processing. The data controller must lay down suitable measures to safeguard the data subject’s rights.
This article provides the legal protection of large-scale and systematic monitoring of public and open areas with artificial intelligence and strikes a balance between the use of personal data and the interest of data subjects.
On top of the GDPR, the 24 member states of the European Union signed the Declaration of Cooperation on Artificial Intelligence in 2018, in order to enhance access to public sector data for the digital single market.
II. United Kingdom
(I) Copyright Law: Source of Laws for Program Developers to Obtain Copyrights
The copyright laws are stipulated in the Copyright, Designs and Patent Act (CDPA) 9 (3). It forms the source of the laws that grant copyrights to the developers of computer-generated works. Article 178 of the CDPA defines computer-generated works as the outputs generated by machines without human authors.
In contrast with the Court of Justice of the European Union’s decision that only human authors are eligible for copyright protection, the UK government opens up another door by specifying that program designers can obtain copyrights even if creative sparks come from machines. This system is considered the most efficient because it enhances incentives for investments.
(II) Public Sector: Open up Government Data
The UK government also opens up its data by posting all the official statistics on the website www.data.gov.uk. The Digital Economy Bill provides the legal framework for government agencies to use each other’s data for the benefit of the public, so as to effectively address the issues surrounding frauds and debts and improve the real-timeliness and accuracy of national statistics.
As part of the Brexit preparation, the UK government has created its own GDPR (2018) to ensure the continued smooth cross-border operations of companies after Brexit. As it offers higher protection of consumers’ data and information, it is worthwhile to refer to the UK GDPR as a template for legal systems and rights frameworks.
III. United States
(I) U.S. Copyright Office: Only Intellectual Achievements of the Human Mind Eligible for Protection
The case law originated in 1991——Feist Publications v. Rural Telephone Service Companyconfirms that copyrights protect the creative powers of the mind. In the Naruto v. Slater (2016) case, the court determines that the photos taken by a monkey are not eligible for copyright protection. Article 313.2 of the implementation guidelines of the Copyright Act issued by the U.S. Copyright Office specify that the works created without human authors are not protected by the Copyright Act. The amendment to Article 313.2 in 2017 states clearly that the U.S. Copyright Act only protects the intellectual achievements of the human mind. The U.S. Copyright Act 503.03(a), titled “Works-not originated by a human author” also states that only works created by a human author can register for copyrights.
(II) Employment Principle: Enhanced Incentives and Investment Willingness
The above court judgements and the implementation guidelines of the U.S. Copyright Act indicate that the U.S. Copyright Office does not confer non-human copyright. However, the U.S. judicial rulings have allowed “the work made for hire provision” as exception to the creative authors, in order to encourage corporate investments. The 1909 amendment to the U.S. Copyright Act included the hired employees as authors. Unless otherwise agreed, “the author or proprietor of any work made the subject of copyright by this Act, or his executors, administrators, or assigns, shall have copyright for such work under the conditions and for the terms specified in this Act”. A typical example is the news agency’s employment of full-time journalists to produce editorials. The works by employees are a company’s key copyright assets.
(III)Employment/Sponsorship Principle if Realized in Taiwan: Companies Investing in Works to Obtain Copyright Protection
Article 11 of the R.O.C. Copyright Act stipulates the ownership of the right to the works of employees on a case-by-case and factual basis. The decision is based on the nature of work, e.g., completion under the employer’s instructions or planning, the use of the employer’s budgets or resources. It is not necessarily related to the work hours or locations. In principle, the employee is the author of the works completed by him/her on the job. However, the employment contract supersedes if it specifies that the employer is the author. On the other hand, if the employee is the author, the intellectual property belongs to the employer. The contract supersedes if it specifies that the employee enjoys the intellectual property. Article 12 is about sponsorship and commissioning. Unless specified by the contract, the sponsored owns the intellectual property of his/her works and the sponsor has the right to use such intellectual property. In sum, the ownership of the right to the outputs generated by artificial intelligence is similar with the employment/sponsorship principle. It is not set in the vacuum of legal contexts.
Therefore, the scholar in Taiwan Lin Li-Chih suggests that the employment principle in the U.S. may be adopted. She posits that when certain conditions are met, artificial intelligence may be treated as the author, so that the outputs generated by artificial intelligence can be protected and the investing research institutes or corporates can own the works. As both legal persons and natural persons can be authors in Taiwan, Lin Li-Chih proposes this approach to resolve disputes given the massive value to be created by artificial intelligence for different applications and the potential lengthy legislative process or laws disconnected from industry expectations. The idea is to avoid the human author requirement from hindering industry investments and innovations for works generated by artificial intelligence. According to the employment/sponsorship principle, deep learning as an artificial intelligence method can be inferred to as the author and then teams and companies that develop the algorithms should own the intellectual property of the works. This will serve as the legal foundation for intellectual property protection.
Four. Conclusion: Legal System and Policy Framework for Emerging Technologies
I. Construction of Laws and Regulations on a Rolling Basis According to the Reality of Emerging Technologies
Every law has its purpose, and the contents of laws depend on their regulatory objectives. However, such contents should be anchored on facts, in order to align the intended purposes. This is particularly the case for the laws and regulations governing emerging technologies because such laws and regulations should capture the fact of technological developments. The most straightforward and fundamental approach to relax the control of the existing legal mechanism is via communication, coordination and understanding. It can be initiated with more dialogues between the government agency responsible for the construction of the legal environment and the industries and the public as subjects of the laws and regulations.
Regulators may wish to come up with dedicated laws for the comprehensive coverage of emerging technologies given the lack of understanding about the technology and the sweeping effects of the technology. However, not all technologies require special legislations. According to Frank H Easterbrook’s article “Cyberspace and the Law of the Horse” published by the University of Chicago’s legal journal, it is advised to properly categorize and analyze existing laws and regulations and apply the suitable ones to new technologies for issues surrounding intellectual property, contracts and torts, as if from the Law of the Horse to the Law of Cyberspace. Similarly, the ownership of copyrights associated with artificial intelligence and the governance of emerging technologies such as autonomous driving and robots may be dealt in this way.
The above analysis on the legal regimes in the European Union, the United Kingdom and the United States highlights two issues concerning the regulation of artificial intelligence and the development of legal environments.
This paper thus suggests two models:
This is the route taken by the UK government, by directly amending the intellectual property laws to specify that intellectual property of artificial intelligence belongs to program developers. It is the most efficient approach of paving the way for technological development by providing incentives to companies and developers.
Another approach is without touching on the sensitive issue of law amendments. Judicial rulings or administrative interpretations by competent authorities are gradually released in the context of existing laws. A temporary solution is introduced with the adoption of the employment/sponsorship principle with corresponding templates and references for contract construction in the industry. This can work in conjunction with safe harbor clauses in the long run, by slowly converging the diversity of opinions and perspectives from corporates, government agencies and academic/research institutions. Adjustments by tightening or loosening on a rolling basis should be made in order to work out the optimal boundary and establish the basis for legislation in the next stage.
II. Data as a Prerequisite for Artificial Intelligence Training
In Taiwan where the legal environment is not yet ready or clear, the ownership of intellectual property for outputs generated by artificial intelligence also involves the potential licensing royalties for the sourcing of training data.
It is worth noting that the use of data for artificial intelligence may affect the basic human rights due to discrimination or bias resultant from training data or algorithms. Therefore, it is necessary to enhance transparency and the protection of human rights conferred by the constitution with corresponding legal systems and ethical frameworks such as due process and fairness principle. The other critical issue is the training database required for artificial intelligence applications. The government should provide more open data as a policy to support technology development in the corporate world or at research organizations. It is also necessary to make government information the structured metadata in order to enhance the efficiency and quality of research outputs. This is to facilitate added value by private sectors with data as an infrastructure provided by the government. Put differently, the government opens up structured data to empower the research and development of artificial intelligence; whilst the private sectors offer professional technology and development capabilities.
In terms of promoting data openness and applications, the government assumes greater accountability in the balancing between data use and data protection, the two equally important public interests. As an island of technology, Taiwan should look beyond the horizon of skies and oceans in the era where information and data flows without borders. The Taiwan government should establish the capability in data openness, protection and control by joining international forums. For instance, the government can apply with the APEC to join the Cross-Border Privacy Rules System in order to encourage regional collaborations in data control and construct datasets with the resources of the country. It is important to focus on the process of data collection, processing, analysis and utilization and ensure policies are implemented with the protection of civil and human rights such as the Right to Know, the Right to Withdraw and Citizen Data Empowerment.
 AI Lesson 101: Illustration of 27 Neural Network Models, Tech Orange, January 24, 2018, https://buzzorange.com/techorange/2018/01/24/neural-networks-compare/ (last visited on December 27, 2018)
 Chen Yi-Ting (Bachelor’s Degree from Department of Physics, National Taiwan University, currently a PhD candidate in Department of Applied Physics, University of Stanford), Artificial Intelligence Starts with Neurons, May 3, 2018, https://case.ntu.edu.tw/blog/?p=30715 (last visited on December 27, 2018)
 Hung-yi Lee’s personal profile at http://speech.ee.ntu.edu.tw/~tlkagk/. Currently teaching in Department of Electric Engineering, National Taiwan University; previously a guest scientist in MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL); specialization in machine learning and deep learning
 Chen Yan-Cheng, Who Is Likely to Lose Jobs in the Era of Artificial Intelligence? Experts Explains the Professional Skills in Demand for Deep Learning, December 26, 2018. https://www.managertoday.com.tw/articles/view/56859 (last visited on December 27, 2018)
 In addition to the leverage of two key features of artificial intelligence, JukeDeck is also very friendly to creative teams in need of musical materials in terms of royalties, fee structures, UI/UX design. The company offers free downloads to non-commercial users. An individual or a small group (of fewer than 10 people) can enjoy five free downloads each month and pay $6.99 per song for the sixth download and above. Large groups (of ten people or more) should pay $21.99 for each download.
 Laird Studio, Let the Online Music Composer Jukedeck Produce Unique Background Music for Your Films or Games! March 8, 2016, https://www.laird.tw/2016/03/jukedeck-jukedeck-bgm.html (last visited on January 10, 2019)
 As above.
 GlobeNewswire, Amper Music Raises $4M to Fuel Growth of Artificial Intelligence Music Composition Technology, March 22, 2018, https://globenewswire.com/news-release/2018/03/22/1444796/0/zh-hant/Amper-Music%E7%B1%8C%E8%B3%87400%E8%90%AC%E7%BE%8E%E5%85%83%E4%BB%A5%E6%8E%A8%E5%8B%95%E4%BA%BA%E5%B7%A5%E6%99%BA%E8%83%BD%E7%B7%A8%E6%9B%B2%E6%8A%80%E8%A1%93%E7%9A%84%E7%99%BC%E5%B1%95.html (last visited on January 10, 2019）. This round was led by Horizons Ventures, with Two Sigma Ventures, Advancit Capital, Foundry Group and Kiwi Venture Partners. This brings the company's total investment to $9 million.
 GlobeNewswire, same as above
 Smart Piece of Wood, Free Online Composer Enabled by AI, Amper Music, March 1, 2017, Modern Musician，https://modernmusician.com/forums/index.php?threads/%E5%85%8D%E8%B2%BB%E7%B7%9A%E4%B8%8A%E5%B9%AB%E4%BD%A0%E4%BD%9C-%E7%B7%A8%E6%9B%B2%E7%9A%84%E4%BA%BA%E5%B7%A5%E6%99%BA%E8%83%BD%EF%BC%9Aamper-music.225650/ （last visited on January 10, 2019）
 GlobeNewswire, same as Note 12
 Fang Yung-Chuan, Neohumanism, National Academy for Educational Research, http://terms.naer.edu.tw/detail/1312151/（last visited on January 10, 2019）. Neohumanism emerged in Europe in the 18th and 19th century, against rationalism and utilitarianism advocated by the enlightenment movement. Neohumanism argues that the value of things is not hinged on practicality. Rather, it stems from the things themselves. Humanity is precious not because of rationality, but resultant from emotional satisfaction in life. Cultures are originated by the spontaneous activities of humanity, on the basis of emotions and imaginations.
 Synopsis by books.com.tw, who sells online Xiaoice’s “Sunshine Misses Windows”, the first collection of poems generated by artificial intelligence in history, August 1, 2017, China Times Publishing Co. https://www.books.com.tw/products/0010759209 （last visited on January 13, 2019）
 Wong Shu-Ting, AI Talents in Taiwan Find Stage in China: NTU Students Participate in R&D That Empowers Microsoft’s Xiaoice to Write Poetry by Looking at Pictures, BusinessNext, June 6, 2017, https://www.bnext.com.tw/article/44784/ai-xiaoice-microsoft（last visited on January 10, 2019
 Synopsis by books.com.tw, same as Note 17
 The organizer did not provide handouts from the speakers. The summary was based on the author’s note.
Lin Ke-Hung, “More Than Playing Chess. AI Writes Novels Too. AI Novel Passes Preliminary Screening for a Novel Award! Reading at Frontline, https://news.readmoo.com/2016/03/25/ai-fictions/（last visited on January 10, 2019）
 TechBang, AI Team in Japan Develops Robots That Write Short Stories and Participates in Literary Competitions, TechNews, March 28, 2016, http://technews.tw/2016/03/28/ai-robot-novel-creation/（last visited on January 10, 2019）
 Ou Tzu-Jin, same as Note 20
 TechBang, same as Note 21
 Lin Ke-Hung, same as Note 19
 The title of the forum was “What is News Now?”. It attracted over 300 journalists and media experts from the U.S. and Asia Pacific to discuss media phenomena today. Detailed agenda available at East West Centre’s official website at https://www.eastwestcenter.org/events/2018-international-media-conference-in-singapore（last visited on January 10, 2019）
 Jason Liu, “Robot Writer, Transformation of South China Morning Post, State Monitoring, International Media Conference Day 1, China, Medium, June 25, 2018, https://email@example.com/%E5%AF%AB%E7%A8%BF%E6%A9%9F%E5%99%A8%E4%BA%BA-%E5%8D%97%E8%8F%AF%E6%97%A9%E5%A0%B1%E8%BD%89%E5%9E%8B-%E5%9C%8B%E5%AE%B6%E7%9B%A3%E6%8E%A7-%E5%9C%8B%E9%9A%9B%E5%AA%92%E9%AB%94%E6%9C%83%E8%AD%B0day1-%E4%B8%AD%E5%9C%8B-c9c20bd00d75（last visited on January 10, 2019）
 Jason Liu, same as above
 Jason Liu, same as above
 First Time Ever in the World！AI-Created Portrait, Sold at Christie's Auction for NT$13.34 Million, Liberty Times, October 26, 2018, http://news.ltn.com.tw/news/world/breakingnews/2592633（last visited on January 10, 2019）
 The selling price is 40x higher than the expected price. The buyer’s identity is unknown.
Chang Cheng-Yu, “First Time Ever! AI-Created Portrait Auctioned at Christie’s for NT$13.34 Million, October 26, 2018, LimitlessIQ，https://www.limitlessiq.com/news/post/view/id/7241/ （last visited on January 10, 2019）
 Lin Pei-Yin, Does the NT$10m Worth AI Portrait Have Intellectual Property?” Apple Daily, Real-Time Forum, November 29, 2018, https://tw.appledaily.com/new/realtime/20181129/1475302/（last visited on January 10, 2019）
 Jamie Beckett, What Are Generative and Discriminant Networks? Hear What Top Researchers Say, Nvidia, May 17, 2017, https://blogs.nvidia.com.tw/2017/05/generative-adversarial-network/（last visited on January 10, 2019）
 Jamie Beckett, same as above. Ian Goodfellow is currently a Google research scientist. He was a PhD candidate in the Université de Montréal when he came up with the idea of generative adversarial networks (GAN).
 Jamie Beckett, same as above
 Jamie Beckett, same as above
 Chang Cheng-Yu, same as Note 32
 Jamie Beckett, same as Note 34
 Wu Chia-Zhen, AI-Generated Nude Portrait Beats Real People’s Works by Claiming the UK Art Award and Prize of NT$120,000, LimitlessIQ, October 15, 2018 https://www.limitlessiq.com/news/post/view/id/7070/（last visited on January 10, 2019）
 Jamie Beckett, same as Note 34
 Chang Cheng-Yu, same as Note 32
 Chang Cheng-Yu, same as Note 32
 The explanatory ruling by the Copyright Division, Intellectual Property Office, Ministry of Economic Affairs, Email 1070420, issued on April 20, 2018, https://www.tipo.gov.tw/ct.asp?ctNode=7448&mp=1&xItem=666643（last visited on January 2, 2019）. The discussion was in response to the training outcome of voice recognition patterns based on analytics of the 1999 Citizen Hotline voice data.
 According to Article 10 of the Copyright Law, authors enjoy copyright at the time of the work completion. Article 33 stipulates that copyright for legal-person authors lasts 50 years after the first publication of the work concerned.
 Yeh Yun-Ching, Birth of New Type of Legal Right/Liability Entity ─ Possibility of Robots Owning Copyrights According to 2017 Proposal from European Parliament, IP Observer - Patent & Trademark News from NAIP Issue No. 190, July 26, 2017
http://www.naipo.com/Portals/1/web_tw/Knowledge_Center/Laws/IPNC_170726_0201.htm （last visited on January 2, 2019）
 C-5/08 Infopaq International A/S v. Danske Dagbaldes Forening.
 Andres Guadamuz, Artificial Intelligence and Copyright, WIPO MAGAZING, October 2017, https://www.wipo.int/wipo_magazine/en/2017/05/article_0003.html (last visited on January 19, 2019).
 The article indicates that “A work should be protected in “the sense that is the authors’ own intellectual creation. No other criteria shall be applied to determine its eligibility for protection”.
 Excerpt from the original legal article: in case of a literary, dramatic, musical or artistic work which is computer-generated, the author shall be taken to be the person by whom the arrangements necessary for the creation of the work are undertaken.
 Excerpt from the original legal article: generated by computer in circumstances such that there is no human author of the work.
 Andres Guadamuz, supra note 49.
 Feist Publications v. Rural Telephone Service Company, Inc., 499 U.S. 340 (1991). “the fruits of intellectual labor that are founded in the creative powers of the mind.”
 Naruto v. Slater, 2016 U.S. Dist. (N.D. Cal. Jan. 28, 2016).
 The 2014 version of Article 313.2 provides a list of the examples not eligible for the U.S. Copyright Act protection. These include the works generated by the nature, animals or plants and the works purely generated by machines or machinery at random, without any creative inputs or intervention from humans. The examples given are photos taken by a monkey and murals painted by an elephant. The 2014 version establishes that works not created by humans are not eligible for copyright protection. The 2017 version takes a step further with more specific and straightforward wording.
 Copyright Act 503.03(a): Works-not originated by a human author.
In order to be entitled to copyright registration, a work must be the product of human authorship. Works produced by mechanical processes or random selection without any contribution by a human author are not registrable. Thus, a linoleum floor covering featuring a multicolored pebble design which was produced by a mechanical process in unrepeatable, random patterns, is not registrable. Similarly, a work owing its form to the forces of nature and lacking human authorship is not registrable; thus, for example, a piece of driftwood even if polished and mounted is not registrable.
 Andres Guadamuz, supra note 49.
 Lin Li-Chih, An Initial Examination of Copyright Disputes Concerning Artificial Intelligence —— Centered on the Author’s Identity, Intellectual Property Rights Journal, Volume 237, September 2019, pages 65-66
 The legislative rationale for Article 12 of the R.O.C. Copyright Act: The sponsor and the sponsored are typically in a more equal position for the works completed with sponsorship. It is different from the situation where the works are completed by an employee by using the hardware and software offered by the employer and receiving salaries from the employer. Therefore, the ownership of copyrights depends on the contract between the sponsor and the sponsored regarding the investment and sponsorship purposes. Unless otherwise specified by the contract, the sponsor typically provides funding because of his/her intention to use the works completed by the sponsored. Therefore, the intellectual property should belong to the sponsored.
 Lin Li-Chih, same as Note 60, pages 75-76. Further reference of the principle used in the U.S. system: Annemarie Bridy (2016), The Evolution of Authorship: Work Made by Code, Columbia Journal of Law, https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2836568. Also the same author (2012), Coding Creativity: Copyright and the Artificially Intelligent Author, Stanford Technology Law Review, https://papers.ssrn.com/sol3/papers.cfm?abstract_id=1888622.
 Lin Li-Chih, same as Note 60, page 76
 Frank H Easterbrook, Cyberspace and the Law of the Horse, 1996 U. CHI. LEGAL F. 207.
 Please refer to State v. Loomis, 317 Wis. 2d 235 (2016).
Oct/30/2006 I. Intellectual Property Management among Taiwanese Firms: Status Quo and Problems 1. Current status of management of intellectual properties among Taiwan-based enterprises Way from Taiwan's participation into World Trade Organization (WTO) effective January 1st, 2002, huge impacts have been brought upon our domestic enterprises, since, apart from competition coming from giant international manufacturers, they have to meet challenges coming from elsewhere in the world. Besides, the arrival of a time when knowledge became an integral part of the economy in which we find ourselves, profits realizable to an enterprise depends largely on the control of market and on R&D of key technology, such that intellectual property alone is a sure key to the earning of profits and growth of modern enterprises to which admirable economical worth may be created commensurably. Intellectual properties owned by the enterprise should make it such that corporate know-how is thereby transformed into marketable commodities to stand in a viable position among competitors. An overall observation of the management system in our domestic enterprises or organizations indicated that management of intellectual properties is scattered among Education or Training units, R&D units, Legal Service Units, rather than detitle with collectively or through flow control. Management of intellectual property as such by and large would fail to produce immediate or admirable benefits to the enterprise, serving at most to avoid occasioning of losses, in fact and indeed it is but through strategic exploitation of an intellectual property management system would it be possible to pursue a share of the market or to realize licensed proceeds. 2. Problems facing domestic enterprises with respect to management of intellectual properties Renowned firms based in Taiwan and active in the prosecution of management of intellectual properties do so primarily because their executive realized how grave a loss could be incurred to corporate assets and corporate operation due to infringement charges, Taking the infringement charge by an alien firm against a certain domestic firm early January, 2006, for example, to reach a compromise a payment amounting to approx, US$85,000,000 was necessary, and that claiming a share of 10% of the Company's annual revenue, that lesson has taught the Company to pour mass resources in the establishment and execution of intellectual management system. In the Knowledge-based Economy of today, no top management of any enterprise or organization would deny the importance of the management of intellectual properties, understanding alone, however, would not suffice to push the Company getting to work forthwith, because the buildup of an intellectual property management system will of necessity incur a lot of costs, seeing the want of possibility to obtain any investment return all at once, most enterprises or organizations would have their intellectual property management systems designed essential to prevent infringement upon other part's intellectual properties. Notwithstanding that our local manufacturers have gradually come to their senses as regards the importance of intellectual properties, larger scale ones, confronted with cutthroat pricing competition in the global market, is largely harassed with litigation on infringement of intellectual properties; whereas the medium and small businesses, owing to inadequate manpower and funding resources, were largely unable to go for in-depth development of intellectual properties, still, a key to consistent development of our local industries lies in a sound planning of the intellectual property management system, amid the current of the Knowledge-based Economy featuring the 2lst century, the creation and protection of intellectual property rights is a critical index to the upholding of our national competition. So top issues on the agenda for competent authorities in charge of industrial sectors include; assisting local businesses or organizations to implement systematic management of intellectual properties, to retain, accumulate intellectual properties produced by its employees and convert same into intellectual assets, to thereby upgrade their competitive margin, this chain of efforts must be formed in a grand cycle encompassing all the staff, to stand firm and last. II. Formation and orientation of Taiwan's standards on management of intellectual properties 1. The origin of Taiwan's regulation of the standards on management of intellectual properties Impacts brought to local industries in the wake of Taiwan's participation in WTO have taught both the Administration and the Industry to realize, in the long run, that protection of intellectual strength and exploitation of intangible assets can redound much to build up competitive margin, Now that our nationwide economic and trade activities have entered global, international scale, the number one issue is to emphasize protection of intellectual properties if only it accounts to move further into transnational frontier and let our national competition be felt there, what's more, protection of intellectual properties is an obligation laden upon all the member states of WTO, and that consistent with our national interests Yet protection of intellectual properties is a comprehensive, integrally interrelated task demanding nationwide consensus, calling for unreserved cooperation across governmental, civil, administrative and legislative channels, if only any effect to be expected accounts, yes indeed it is but through an environment propitious to the safeguarding of intellectual properties can R&D tank go deeply rooted in this country, therein lies rightly a sure key to permanent survival of our nation at large. The buildup of a convenient, effective and low-cost intellectual property management system in lieu of discrete controls seen traditionally in our local enterprises or organizations, will help the enterprises to effectively control and safeguard their intellectual properties, and that sub serving to protect their proper interests, reduce risks of theft, and restraint from encroaching upon the intellectual properties of third parties, besides, roytitleies through licensing arrangement will redound to corporate revenue, that paralleled with boosted marketing competition, intellectual properties protected and exploited as such will mark a resounding foundation for lasting development in our times where know-how alone is the king. The foreground being recited above, in 2003 and 2004 the Intellectual Property Office, a department of the Ministry of Economic Affairs (IPO for short), appointed Science and Technology Law Center, a unit under Institute for Information Industry (STLC for short), to establish an intellectual property management system suitable for local enterprises (Then known as “Intellectual Property Management System Standard”, in the hope that by the implementation of standardized intellectual property management procedure and promotion of same, local enterprises may remain less likely to getting involved in infringement charges, among other benefits foreseeable with exploitation of properly owned intellectual property rights. 2. Orientation of Taiwan's intellectual rights standards On December 9, 2004, the Ministry of Economic Affairs held a Conference on “Deliberation on the instituting and promotion of standards for the management of intellectual properties of Taiwan”, whereat a resolution was reached to work for Taiwan Intellectual Property Management System basing on the Intellectual Property Management System Standard proposed by STLC under trust for Intellectual Property Office, eventually it is hoped that through national standard certifying processing said Intellectual Property Management System Standard be instituted as our National Standard, to build up a nationally acknowledged credibility. Enterprises would then be encouraged to introduce for themselves a certifying mark once entitled through certification, and efforts will follow to see that the Intellectual Property Protection System be instilled in day-to-day realities, the whole system would by then be promoted internationally so that the image of our nation as an active protector of intellectual properties will one day be known to the world at large. However, as it will take years to have a national standard institutionalized, moreover, the enterprises at large are not sufficiently informed with the notion of the management of intellectual properties, the first step might well be to build up an Intellectual Property Management System Rating Scheme, to be followed with specification of supplemental procedures, and the same on completion, be recommended to the industry circle, and progression to applying for national standard would begin only if extensive consensus is obtained in the first place, paralleled with correlation with international realities, After the task was transferred to the Industrial Development Bureau of the Ministry of Economic Affairs (IDB for short), in 2005, it was reoriented to the positioning of industrial specification, that anyway helps local enterprises or organizations to build up a wholesome intellectual property management system. To adapt to industrial convention respecting specifications, the Intellectual Property Management System deliberate herein is named “Taiwan Intellectual Property Management System” (TIPS for short). The TIPS which is in the charge of the IDB is indicated for autonomous introduction by individual enterprises or organizations, in the hope that a systematic model for the management of intellectual properties would help correlate existent hardware facilities with ad hoc Intellectual Property Management so that a convenient, effective and low-cost management system be easier founded for the enterprise or organization concerned, in place of traditional trivial, random management practices 3. Process of formation of Taiwan intellectual property management standards While the establishment of Intellectual Property Management Standard was still in progress for the STLC, there was already lots of matured management standard system among international communities for consultation, including, for example, the ISO Quality Management System. So eventually in 2003, 2004, the Intellectual Bureau encrusted the STLC to analyze the ISO9001:2000 Quality Management System in terms of its spirits and structures, and to look into the possibilities for combination with Intellectual Property Management as well, so that, in the affirmative case, what needs be done is to work out an Intellectual Property Management Standard to which all kinds of business and industry may fit, and that will help to achieve procedural flow, efficiency and standardization all at the same time. The ISO9001:2000 Quality Management System is a standard established by ISO (International Organization for Standardization), and which is currently a Quality Management System running around the world. In the year 2000 ISO combined through amendments of ISO9001, ISO9002 and ISO9003 published titleogether in 1994, to form ISO 9001:2000. ISO 9001:2000 since replaces all the previous standards and stands as the only and sole standard for certification, featuring emphasis on the consolidated functioning of Quality Management Systems and the target for comprehensive Quality Management. The ISO 9001:2000 based the entire system structure on PDCA Management Cycle (Plan-Do-Check-Action), way up from the Management Level, setting corporate quality policies and targets as dictated by customer needs, whereby planning of corporate resources is decisive in production and service outputs, what with measuring and monitor mechanism to persistently improve functioning of the entire quality system. With respect to various operational procedures in an enterprise or organization, a four-step PDCA comprising: (1) Plan, whereby quality policy is formulated; (2) Do; (3) Check, as to the outcome of what has been done; and (4) Action, corrective and preventive by nature; will intervene to help resolve problems as they arise and hence, achieve the targets. Abiding by aforementioned PDCA model, the STLC will firstly incorporate the Intellectual Property Management Standard into ISO 9001:2000 Quality Control System, thence consult the ISO system structure to split into 0 to 8 units: General Description, Scope of Application, Reference Standards, Definitions, Intellectual Property Management System, Management Commitment, Resource Management, Procurement, of Intellectual Proprieties, efforts as such should help the enterprises to promptly set up hard environments necessary to the management of corporate intellectual properties, and make the STLC easier in lending a hand to facilitate substantive functioning of corporate intellectual property management systems. Intellectual Property Management Standards incorporated to ISO system will prove more structurally effective, and help the enterprise to rapidly lay a foundation for the management of their intellectual properties, so that hopefully they may more effectively manage, make use of their intellectual properties, whereby to fortify their competitive margin, so that in the long run the overall international competitive margin of our industries is upgraded. A common goal for the design and setup of intellectual property, management standards lies in searching for the maximum possible assent from the industrial society so that an auditing or certification platform be created to benefit the intellectual property management system that is working for any enterprise or organization in this country, in order for such systems one by one will necessarily conform to prescribed standards, minimum requirements from given organizations or stipulated in statutes inclusive, not to mention the ultimate goal of better protection and exploitation of intellectual properties, in a lawful and satisfying manner. However, as yet no consensus has been reached as regards the establishment of a national standard respecting management of intellectual properties, yet there is still a need for management of intellectual property rights among local enterprises or organizations, to offer the utmost assistance possible to them all, the Ministry of Economic Affairs has taken the initiative to revise what was once Intellectual Property Management Standard into Intellectual Property Management Specifications, and such is positioned as an industrial specification. By instructive posture, subjects considered suitable to accept said Intellectual Property Management Specifications include all kinds of organizations irrespective of their category, scale, products or services offered. Even units or ad hoc groups in a given organization may qualify for inclusion, including, for example, a company in its entirety, or a specific division of that company, a laboratory or production program. 4. Anticipated Benefits That the IDB is sparing no effort in the preparation of Intellectual Property Management Specifications is underlined with multiple objects, to offer a unified structure for the management of measurable intellectual properties, to help enterprises simplify their procedures of management of intellectual properties, to enlighten the object enterprises or organizations with the understanding and what to expect from an Intellectual Property Management System. If only management of intellectual properties is incorporated into routine operation of an enterprise whatsoever, and that concept spread afar internationally, that would certainly help to build our national image as a country that is brave enough to initiate protection of intellectual properties. In the mean while, with ever increasing demand for the setup of intellectual property management systems, a reality as such in the foreground, a good chance is struck to enlarge the service market or intellectual property management services emanation from Taiwan, and that sub serving to the development of know-how service industry, a surplus for the service industry by any rate. An enterprise or organization by the establishment of intellectual property management system may expect the following benefits; Increased competitive strength and creation of additional value. Once an Intellectual Property Management System is there, the facilitation to maximize intellectual properties will redound to corporate competition, while help creation more of additional value. Taking our sports implements industry or the vehicle lights manufacturers in Taichung area for example, intellectual properties are present in the products and in the production process as well, to make available diversified options for the purchasing parties, thereby greatly enhancing additional value to the products, interpreted to mean more profits realizable over pure OEMs. Avoidance of vicious cycle, increased will to placement of purchasing order. If only optimum use is made of intellectual properties such that they are represented in the products, in the process or even in the technology itself, Taiwanese manufacturers who are basically OEMs may avoid the painful dilemma of vicious competition, and may even make it may avoid the painful dilemma of vicious competition, and cay even make it for overseas buyers to be core willing to place orders, Taking again as an example a TIPS induced manufacturer, 2005, the Universal Scientific Industrial Co., Ltd., after the USI has built internal intellectual property management system pursuant to TIPS specifications, alien clients on the point of placing orders may very soon be adequately informed with the model the USI takes respecting their management of intellectual properties, satisfied that the products being purchased are largely safe from infringement of other's proprietary rights, the alien buyer may be willing to place more and greater orders. Reduced management costs, creation of greater profits. Most Taiwan-based medium and small businesses are far from being able to input mass manpower or material resources simply to build up systematically structured intellectual property management system. The meaning of introducing TIPS specifications lies simply in the close embodiment of existent hard equipments with management of intellectual properties for any intending enterprise whatsoever, so that a full set of convenient, effective and low-cost management may come into being in lieu of random and discrete management practice which has been the case for years or even for generations. Obvious benefits with such an arrangement include protection of proper interests, preclusion of encroachment upon the proprietary rights of third parties, and perhaps the possibility of granting licensing arrangements to earn roytitleies for the company. III. Implementation of Taiwan Intellectual Property Management Standards: History and Current Situation From 2006, the way to promoting the Intellectual Property Management System is prosecuted in the form of specifications submitted to industries in the hope that industries would establish their own intellectual property management systems using such specifications, through systematic flows, efforts as such should help to boost corporate competition, and the keynote has therefore shifted from once where it was, that was, verifying if a given industry had introduced and honestly follow specified Intellectual Property Management System against given standards. What follows below is a phase-wise account of the history of implementation of Taiwan's Intellectual Property Management Standards: 1. Trial Phase Emphasis placed on Intellectual Properties following Taiwan participation in WTO has driven the IPO to appoint the STLC to formulate a full set of standards for the management of intellectual properties based on a structure and morale embodying ISO 9001:2000 Quality Control Systems, and the same intended for trial introduction into local industries in addition to personnel training and promotion purposes. In this phase important businesses on the agenda include: To launch the institution, the intellectual property management standard will be firstly introduced into three manufacturers beginning in 2004, whereby manufacturer's comments collected in the counseling process will turn to account for reference for amendment considerations respecting said Intellectual Property Management Standard, with outcome of the introduction serving as a model for other manufacturers. As regards promotion, suitable promotion scheme will be put into effect to introduce Intellectual property Management Standard to enterprises or organizations to which predecessor experiences will be supplied as well, whose newly gained experiences would be shared among other enterprises for reference in Outcome Sharing Party activities. As regards counseling input, there have been 3 manufacturers in 2004, Asia Optical Co., Inc., Cheng Uei (Foxlink) Precision Industry Co., Ltd. and HiTRUST Inc., receiving trial introduction of Intellectual Property Management Standard whereby each has had their own Intellectual Property Management System established. As regards personnel training, seeds have been chosen who, after having received training on relevant curriculums, betook themselves to assisting enterprises or organizations introducing Intellectual Property Management Standards, this in turn benefits the seeds with on-job experiences such that they turned out better prepared to demonstrate counseling, assessment capabilities in the face of future promotion tasks, As regards R&D tasks, consistent brainstorming for the working of supplemental or operating procedures necessary for the promotion of Intellectual Property Management Standards, prepping up comprehensive implementation programs based on experiences accumulated over practical and personal involvements. 2. Demonstrative Introduction Phase Since promotion task is passed to the IDB in 2005, efforts to institute Intellectual Property Management Standard switched to introducing Intellectual Property Management Specifications where the top concern is to be helpful for the industries concerned. On the basis of as is Intellectual Property Management Specifications and prep up verification mechanism; Seen in the result of institutional promotion, out of stipulations and regulations conditioning the promotion of intellectual property management system that is persistently deliberated by the STLC on behalf of the IDB, a total of 11 documents nave been released pertinent to supplemental procedures and relevant date, plus up to 10 errands comprising reviewing of statutory provisions and effecting of major amendments. As regards promotion efforts; done are printing of notes on application of counseling services, brief introduction of Intellectual Property Management System, Specification of Intellectual property Management System, Paragon of Management Handbook and Guide to Assessors. Promotion efforts were consummated in 3 promotion seminars which took place in the north, central and southern part of Taiwan respectively, also done is an outcome share party where the protagonist is paragon manufacturer introducing the system in question; cooperation has been an event with Economic Daily News which has given an in-depth coverage on paragon counsel case. Forum on the media Economic Daily News whereat reputed scholars on intellectual property issues and experts in practice, such as Professor Ming-Yan Shieh of National Taiwan University, Professor Chung-Jen Cheng of Shih Hsin University, have been attending. As regards counseling for introduction, a total of 8 middle or smaller businesses have been successfully counseled into introduction for exemplification purposes in 2005, they are: Yulon-Nissan, Asia Optical Co., Inc., Advanced Connectek Inc. (ACON), Meifu Technologies, Universal Scientific Industrial Co., Ltd. (USI), Cycling & Hetitleh Tech Industry R&D Center (CHC), Apex Nanotechnology Corporation, and AURORA Office Automation Corp. 4 counsel execution meetings have been held, plus one Pre-assessment Seminar, on-the-spot written evaluation has been conducted with respect to 8 exemplary induced manufacturers. As regards personnel training, a total of 98 person-rounds have benefited under training programs encompassing: induction seeds, internal auditors, exemplary counselors, reserved seeds. 3. The Weighted Promotion Phase Following conclusion of infrastructural consolidation in 2005, diagnostic service was given to have a close check on existent intellectual property management system that was working in enterprises and organizations, this effort in concert with experiences accumulated through exemplary inducement, in 2006, in order to find out actual needs against differentials in place for promotion and rectification of the specifications in use of the management of intellectual properties: Institutionally, way from 2006 the unified designation “Taiwan Intellectual Property Management System” (TIPS) will apply as a common technical specification in sectors including: industry, government, schools, R&D interests, Follow-up promotion tasks will continue in the form of a team comprising interested scholars, experts invited by the grace of the Industry Bureau, in charge of strategic planning, execution, supervision, and literature screening. As regards promotion and propagation, in 2006 it is largely through self-assessment and evaluation, to which participation is on a voluntary basis with notices served on induced enterprises of organizations, To spread afar the inducement movement so that more and more people are adequately enlightened with what is all about TIPS, a total of 3 instruction seminars have been sponsored in the north, central and south to go pursuant to the inducement experience concluded in 2005, plus several occasions of manufacturers’ conceptual exchange meetings. As regards counseled inducements, a total of 30 manufacturers have benefits under the TIPS diagnostic service as offered, they are: Tatung Co., Taiwan Design Center (TDC), King Car Industrial Co., Ltd., Systex Corporation, National Nano Device Laboratories (NDL), National Center for High-Performance Computing (NCHC), Chi Mei Frozen Food Co., Ltd., Eastech Electronics (Taiwan) Inc., Lee Chi Enterprise Co., Ltd., WisTek, PRIT Biotech Co., Ltd, Intech Taiwan Corporation, Yeastern Biotech Co., Ltd., Yangsen Biotechnology Co., Ltd., Apex Biotechnology Corp. (ApexBio), Taiwan Electric Voice Co., Ltd. (TEV), Gewise Industrial Inc., SportsArt Industrial Co., Chien Yuan Food Chemicals Co., Ltd., Unicare Biotechnology Corp., Tek Maker Corporation, Chi Lin Technology Co., Ltd., Ihetitleh Co., Ltd., A3000 System Co., Ltd., Standard Chem. & Pharm. Co., Ltd., Jwo Ruey Technical Co., Ltd., Omni Hetitleh Group, Alinc Taiwan Co., Ltd., Marie International Co., Ltd., S.Z.S. Co., Ltd., each of them outstanding and highly revered in their respective field of avocation. From them 5 manufacturers have been chosen to account for exemplary TIPS inducement cases, these are: TDC, King Car Industrial Co., Ltd, Systex Corporation, Yeastern Biotech Co., Ltd., SportsArt Industrial Co., to demonstrate how the recommended Intellectual Property Management Specification works in reality, As regards personnel training services: one round of Tips inducement trainee course and one round of TIPS self-assessment trainee course have been sponsored to benefit a total of 91 person-rounds 16 professionals have been entered on registration as counselors, one round of assessment commissioner pre-task seminar has been sponsored. IV. Outlook of Future Planning Based on the consensus reached in “Conference to Work for the Instituting and Promotion of Taiwan Intellectual Property Management Standard” sponsored by the Ministry of Economic Affairs, universal promotion of the intellectual property management system will be implemented continually in phases so that same may be introduced to industries different in scale or fields of interest with more flexibilities, comprising both enterprises and organizations: Institutionally, specifications will adapt to the scale and classification of the industry concerned, with possibilities to allow for the planning of simplified versions and industry-specific versions, besides, the introducing of TIPS specifications will inevitably incur the necessity of integrality with existent ISO systems, owing to limited timing allowed for counseling intervention, the Industry Bureau will firstly strive for the buildup of TIPS with as many as possible manufacturers. Embodiment of ISO with TIPS is a precondition to introducing the latter, since ISO is an internationally recognized standard, in so far as TIPS fails to be combined with ISO, to target industries the inducement task is always a mission impossible, As regards promotion and propagation, the government is planning to qualify industries to which the suggested intellectual property management system has been introduced successfully as eligible for extra score when they go applying for benefit under Creative R&D Counsel Plan, or for favorable terms in closing same plan, this as an incentive to induce more manufacturers, Being considered is the editing of Inducement Manual which would include introduction of exemplary cases, exemplary inducement procedures, to help build up interchange of inducement experiences among manufacturers, More concrete encouragement means will be offered to pilot manufacturers who are willing to set themselves as paragon in the inducement movement, and manuals disclosing governmental resources relevant to the issue of intellectual properties will be compiled for manufacturers' reference; sponsoring promotion seminars addressed to specific group of manufacturers, whereat pilot manufacturers will give an account of their own initiation experiences. As regards inducement counseling, a review of the background of manufacturers to which TIPS has been introduced will yield the notion that most of our traditional industries or medium and small technique R&D oriented concerns fell short of the manpower and experience necessary for management of intellectual properties, so they very much need and wish that the government assist them to build their own Intellectual Property Management System. To alleviate cost burden on the intending enterprises or organizations, being envisioned is enlargement of scope of reach of services in coordination with e-mail dominant autonomous verification system, phase-wise inducement mode may be introduced eventually to help reinforce the autonomous verification software capabilities, and to assist induced plants in operation. Currently the target is set at reaching titleogether 300 manufacturers who are able to run autonomous verifications under TIPS by the year 2008, meanwhile 50 rounds of TIPS external assessments are completed for the manufacturers and titleogether 120 clients having received TIPS diagnostic services. As to personnel training, being continually sponsored are training courses, under planning are certifying training agency buildup programs so that the training service may spread wide afar, by the year 2008 a total of 280 TIPS professionals will have been turned out due to training efforts; it is believed that more individuals would be attracted by appealing on the importance of intellectual properties with respect to corporations and individuals alike, so as to prolong and spread benefits by reason of resource input. As regards R&D progressions, as incessant improvements, researching efforts are indispensable to the buildup of impeccable intellectual property management system; current status of intellectual property management among local industries will be surveyed persistently in parallel with studying of present status of intellectual property managements around the world. It is hoped that through personnel training, what with publication, exchange and transmission of experiences accumulated with intellectual property management system or institutions, incessant improvement of intellectual property management system, setup of evaluation scheme respecting and so as to make more wholesome intellectual property management systems, the day will come sooner for “Wholesale and universal institutionalization of generalized intellectual property management systems across the manufacturers, legal persons, consortium in particular, researching institute throughout Taiwan” to come true. V. Conclusions: A Reliable statistic source in 2006 claimed that the percentage of commercialization by local manufacturers to whom patent rights have been granted against application is merely 0.3%, which figure is 10 times behind the corresponding average in international communities, the latter being 3% It is advisable for our manufacturers to realize that innovation and intellectual property management are independent of capital resources, management subsequent to the acquisition of patent privileges must never go slow or put aside. The prime object of implementation of TIPS by the government is to push for universal buildup of intellectual property management system so that local manufacturers whose interests are associated therewith may best exploit as well as protect their properly owned intellectual privileges thanks to subsequent relevant planning, that they be alerted to application of patented rights once granted to them. For any enterprise or organization to establish their own intellectual property management system after TIPS, they will have to understand in the first place their own strengths and weaknesses and orientation for future operations, they will then fix defined policy and corporate objective, and that supported by the top management level, the next step, is to decide as to whether an ad hoc unit be installed by taking into consideration corporate scale and resources, or if it is more desirable to commission intellectual property management to outside concerns. Creation of intellectual property depends upon the character of corporate products, the setup of an intellectual property management system is meant to manage the creation, up keeping and application of intellectual properties, the training mechanism functions to promote conceptions about intellectual property by instilling same among corporate employees, concrete safety guarding measures are required to physically protect intellectual properties. Safeguarding operations to provide protection of intellectual properties must be checked periodically, the PDCA model will intervene to appropriately amend both policy directive and systems of intellectual properties so that the system may best achieve its intended purposes by incorporating the auditing, accounting and financial management of intellectual properties at the same time. Fair and just verification scheme will be built to verify what happens to an industry to which the system has been introduced for some time, so that the industry may remain alert as to where it stands in the system; the need for counseling services arising as a result of corporate aspiration to pass evaluation will help create a market of counseling service addressed to service industries intending to offer systematic management services to needy clients, Then corporations or organizations will sooner pay more attention to the management of intellectual properties, while knowledge service industry will develop and prosper in like measure, the causes interacting with each other to bid birth to more innovation and growth, and Taiwan is brought closer and closer to fulfilling its affectionately nicknamed designation: Intelligence Island.The Taiwan Intellectual Property Awareness and Management Survey
The “National Intellectual Property Strategy Program” was announced by the Taiwan government in November 2011 in an effort to promote and raise the intellectual property capability of Taiwanese firms. As policy adviser to the Ministry of Economic Affairs in drafting the “National Intellectual Property Strategy Program,” the Science and Technology Institute under the Institute for Information Industry (STLI) conducted a survey in 2012 in order to gain a broad overview of the level of IP awareness and IP management and use among Taiwanese firms. The survey was distributed to 1,384 firms that are listed either on the Taiwan Stock Exchange or the Gre Tai Securities Markets. 281 companies responded to the survey, achieving a survey response rate of almost 20%. The content of the survey was divided into three parts: IP knowledge and understanding, current IP management within the companies and IP issues that companies face. The Importance of IP to Businesses Intellectual property has become a commonplace asset owned by firms. The growing significance of intellectual property to companies in general is undeniable, and firms are recognizing this as well. An overwhelming 93% of the respondents claim to own some form of intellectual property. The most common type of intellectual property owned by companies is trademarks, followed by patents and trade secret. Many companies are also actively seeking to obtain more intellectual property. Over 68% of the respondents indicated that they have submitted applications for formal intellectual property rights in the past two years. 84% of the respondents agreed with the statement that they believe intellectual property can bring added value for the firm. In addition, over 78% of the respondents also believe that intellectual property helps enhancing the company’s market position. It is clear that the majority of Taiwan firms already consider intellectual property to be a vital asset for their business and that building up and expanding their IP portfolio has become a top priority. This is also reflected in the annual spending that firms allocate for intellectual property. The survey respondents were asked whether a specific budget is allocated toward spending related to intellectual property every year, and the majority of the respondents, almost 70%, responded in the positive. Particularly, the respondents pointed out that they commit the most resources to obtaining and maintaining intellectual property rights every year. 10% of the respondents even indicated that they spent over NT$5 million annually on obtaining and maintaining intellectual property rights. The respondents were also asked about spending on inventor incentive, IP personnel, IP disputes and litigations and staff IP training. The results showed that companies commit the least spending on providing IP training for staff, with more than half of the respondents noting that they spend less than NT$500,000 on IP training each year and only 14% of the respondents noted that they will increase spending on IP training the following year. Weakness in Generating Value from IP As noted above, Taiwan firms are actively seeking to obtain more intellectual property and building up their IP assets. With almost 70% of the respondents noting that they have applied for intellectual property rights in the last two years shows that companies are generating quite a lot intellectual property, but whether all the intellectual property generated is being exploited and creating commercial and economic benefits remains doubtful. Most of the firms, almost 86% of the respondents, acquired their intellectual property through their own research and development (R&D). In contrast, the proportion of firms using other means of acquiring intellectual property is quite low, with only 17% of the respondents acquiring intellectual property through acquisition and 28% through licensing, while 41% percent of the respondents acquired their intellectual property by joint research or contracted research with others. With R&D being the major source of intellectual property for firms, firms are clearly putting in a lot of investment into acquiring intellectual property. However, the returns on these investments may not be proportionate. When asked whether the firm license out their intellectual property, only 13.5% of the respondents claimed to be doing so. This suggests that most Taiwanese firms are not using their intellectual property to generate revenue and commercial value. Instead, intellectual property is still mostly regarded and used as merely a defensive tool against infringement. Companies in Taiwan are also facing increasing risks of being involved in IP-related disputes and litigations. More than 30% of the respondents have already been involved in some kind of IP-related disputes and litigations in the past. The most common type of litigations faced by Taiwanese companies are patent infringement, followed by trademarks infringement, piracy and counterfeit, and disputes with (former) employees. Furthermore, more than 50% of the firms that have been involved in IP litigations noted that patent infringement and trademarks infringement pose the most detriment to the company’s business operations in general. It is evident that intellectual property has become a competitive weapon in businesses, and IP disputes and litigations are inevitable threats that most firms must face in today’s business world. Hence, it is essential for firms to have the necessary strategies and protection in place in order to minimize the risks created by potential legal disputes. With this in mind, it is worrisome to observe that most firms have not incorporated intellectual property into the company risk management program. Nearly 86.1% of the respondents claim to have some kind of risk management program in place within the company, but when asked what is included in the risk management program. Only 40.7% of the firms with risk management programs said that intellectual property is included, which is considerably lower than other types of risks generally seen in risk management programs. With IP disputes and litigations becoming an increasing threat that may bring negative impact for businesses, Taiwanese firms need to incorporate and strengthen IP risk management within the company. IP still not widely considered as business strategy With intellectual property being an important asset, firms should also have the necessary infrastructure and resources to manage IP accordingly and integrate IP into the company’s overall business operations. However, more than 50% of the respondents do not have designated personnel or department that is specifically responsible for managing the company’s intellectual property. Nearly 33% of the respondents indicated that the responsibility for managing IP is shared by other departments within the firm. When further asked about the tasks of the designated personnel or department that is responsible for IP, it is observed that the designated personnel/department mostly undertake routine tasks such as filing for patent applications and trademark registrations and maintaining relevant databases. Tasks such as patent mapping and competitive landscape analysis are the least performed tasks. The proportion of designated personnel/department for IP that are involved in the company’s business and research strategic decision making process is also quite low. This suggests that despite the importance of IP to firms, many Taiwanese firms still have not integrated IP into their overall research and business strategies and utilize their intellectual property as a strategic tool in their business operations. Low Levels of IP Awareness and Training within Firms In order to gauge the level of IP knowledge and understanding in Taiwanese firms, the survey also contained 10 very basic questions on intellectual property. Surprisingly, the respondents that answered all the questions correctly were less than 4%. The proportion of respondents that correctly answered 5 or less questions did not even reach 50%. This means that Taiwanese firms still lack fundamental IP knowledge and understanding in general. This is also reflected in the response to the question whether the company has an overall IP policy in place, which also serves as an indication of the level awareness and concern with intellectual property within the firm. An IP policy that is distributed to company staff means that IP awareness is promoted within the company. However, almost 40% of the respondents claimed that there is no overall IP policy within the company, and nearly 30% of the respondents noted that even if there is an IP policy, it is not made widely known to company staff. This reveals that many Taiwanese companies still need to undertake more IP awareness promotion within the firm. More IP awareness promotion is also justified by the results to the question as to whether the company provides IP training for company staff. The results showed that almost 44% of the respondents do not provide any form of training in IP to company staff at all. This also corresponds to the result noted earlier that most respondents commit the least funding to providing IP training each year. Providing regular IP training to staff is certainly still not the norm for most Taiwanese firms. Issues facing businesses and their policy needs Taiwanese firms still faces many difficulties and challenges in their intellectual property management and hope that the government could provide them with the assistance and resources needed to help them enhance their intellectual property capacity and capability. Some of the major difficulties that the respondents pointed out in the survey include the lack of IP experts and professionals. It is difficult for firms to find and hire people with adequate professional IP skills, as the education and training currently provided by universities and professional schools do not seem to meet the actual IP needs of companies. Another major difficulty faced by Taiwanese firms is the lack of information and knowledge regarding international technical standards and standard setting organizations. A significant portion of the respondents expressed the wish for the government to help them gain entry and participation in international standard setting organizations. Among the other difficulties, the regulatory complexity and lack of clarity with the ownership of intellectual property arising from government-contracted research, which poses as barrier for firms in obtaining licenses for use and exploitation, is also an issue that the majority of the respondents hope the government could improve. In addition to the difficulties mentioned above that Taiwanese firms hope the government would help them encounter, the respondents were also asked specifically what other resources and assistance they would like to seek from the government. 69.4% of the respondents hope that the government could provide more training courses and seminars on IP. Many respondents are also seeking a common platform that can unify all resources that could help enhance IP management. Expert assistance and consultation on obtaining intellectual property rights and providing information on international IP protection and litigation are also resources that Taiwanese firms desire. More than 50% of the respondents also indicated that they would like to receive assistance in establishing IP management system within their firms. Conclusion The results of the survey provided insight into the level of IP management among companies in Taiwan. Although the importance of intellectual property for businesses is undeniable and widely recognized by firms, the results of the survey revealed that there is still much room for improvement and for Taiwanese firms to put in more efforts into strengthening and enhancing their IP capabilities. In general, Taiwanese firms have not incorporated their intellectual property into their management strategies and derived adequate value. Intellectual property remains mostly a defensive tool against infringement. Furthermore, there is still need for greater promotion of IP awareness among firms and within firms. With these IP management difficulties and deficiencies in mind, it should be noted that the respondents of this survey are all listed companies that are already of a certain size and scale and should have greater resources in their disposal to commit to their IP management. It would be reasonable to assume that small and medium firms, with significantly less resources, would face even more difficulties and challenges. Using this survey results as reference, the “National Intellectual Property Strategy Survey” would seek to help Taiwanese companies address these IP issues and provide adequate assistance and resources in overcoming the challenges Taiwanese companies face with their IP management. It is also hoped that this survey would be carried out regularly in the future, and that the survey results from 2012 would serve as a baseline for future surveys that will assist in observing the progress Taiwanese businesses are making in IP management and provide a whole picture of the level of IP awareness and management within Taiwanese firms.Blockchain in Intellectual Property Protection
Background Blockchain is a technology with the ability to decentral and distribute information. It records encrypted information of the user’s behavior. Blockchain has disintermediate, transparency, programmable, autonomous, immutable and anonymous essential features. The first application of blockchain is to develop cryptocurrency and a payment system, Bitcoin, which has overturned traditional concept of the currency model we knew. So far, blockchain has been widely applied in many territories, such as the intellectual property protection system, called the Blockai, which is a website using blockchain to overcome the plight of piracy in the United States. Example The Library of Congress in the United States found that it had been lack of efficiency for the copyright management. Blockai provided a solution for the Library. Authors will benefit from having proof of publication and copyright monitoring by registering with Blockai. The Blockai system securely timestamps copyright claims in the distributed database based on the Bitcoin protocol. For each copyright claim, a proof file is made available through the footer of the certificate and can be verified by authors using this open source proof verification tool, and it is free of charge for everyone. Although the "Proof of Publication" does not constitute admissible evidence in a trial, it is still credible in its technical features. Conclusion In Taiwan, there is still no copyright registering system. Before a copyright infringement suit may be filed in court, the burden of proof is on the copyright owner. For it is difficult for the copyright owner to provide a credible evidence in trial. We may consider using the experiences of other countries for our reference, developing the intellectual property protection system based on blockchain technology in order to help authors preserve their rights, and provide legal services as a legal technology.South Korea’s Strategy for Reinforcing Protection of Corporate Trade Secrets-Trade Secret Protection Center
Preface In order to increase the strength of addressing issues on the infringement of intellectual property for small and medium enterprises, Korean government launched Consultative Committee for Intellectual Property Policies, leading by Presidential Council on Intellectual property and conducting with Ministry of Culture, Sports and Tourism, Korean Intellectual Property Office and Ministry of Justice, to discuss how to reinforce efficiency on handling infringement of intellecual property and work on policy for intellectual property protection. Korean government has considered trade secret as the core of corporations; however, corporations think little of it. For this reason, Korea Institute of Patent Information’s Trade Secret Protection Section, in charge of the Trade Secret Protection Center, works to avoid the outflow of business skills and trade secrets, to improve trade secret protection system, to raise awareness of trade secret protection and develops South Korea as an intellectual property power. This article aims to briefly introduce the standard management system, the diagnosis of corporate trade secret and the Trade Secret Certification Service which are schemed out by the Trade Secret Protection Center. Explanation on Major Strategies Trade Secret Diagnosis & Standard Management System In an attempt to offer a diagnosis of current problems about trade secret management in corporations for drawing up suggestions for improvements, the Trade Secret Protection Center sets up a series of questions based on the five categories: organization policy management, document access management, staff management, physical management and information technology management. There are in total 32 questions with detailed sub-questions for knowing if corporations have set up regulations and if the regulations are followed; if the regulations are not followed, if they have strategy to tackle with violation. For example, the question for internet management is to examine on how corporation manages intranet and extranet. Some possible policies are to make them separated, to do authority control or to do nothing. Here is the procedure for diagnosis: 1.Preparation Employees are asked to gather information regarding trade secret management and improvement opinions by a questionnaire. 2.Diagnosis Get the result of how well corporation has done for trade secret management by analyzing the questionnaires. 3.Plan Come up with solutions according to diagnosis. 4.Action Provide suggestions with different levels of work. Level Description A (above 81 point, Excellent) Well-formed trade secret management and great operation B (71-80 point, Good) Limited strategy with law protection for trade secret outflow C (61-70 point, Average) Weak strategy with a lack of law protection for trade secret outflow, management needed D (41-60 point, Fair ) Poor law protection for trade secret outflow, management needed badly F (below 40 point, Poor) High Risk of trade secret outflow The Trade Secret Protection Center will examine and offer staff training periodically in an effort to improve following aspects: 1.Corporation Management (1)Avoid crucial information outflow (2)Systemize issue handling and information authentication process 2.Organization Culture (1)Convey the importance of information protection (2)Decrease the incoordination among departments due to protecting key information (3)Build trade secret protection culture 3.Staff (1)Provide long-term training for trade secret protection (2)Build up ability of trade secret protection The trade secret diagnosis is considered as a way to make trade secret the key intangible asset in corporations and even to increase the competitiveness and to create profits. In addition to the trade secret diagnosis, the Trade Secret Protection Center further provides immature business with the standard management system which contains services with trade secret registration, level distinguishments, authority control, staff management, contract management and certification service. The primary goal of the standard management system is to help with production and maintenance of trade secret certification before issue occurs. When issue happens, the system is right here to submit certification of trade secret and guarantee to the court that nobody can access trade secrets except the possessor of the trade secret and the institution. In other words, the system is intended for following goals: 1.Efficientize Trade Secret Management Save time, money and manpower. Manage trade secret and related information efficiently. 2.Raise Awareness of Trade Secret Protection Among Employees Strengthen awareness and application of trade secret protection by using this system as daily work process 3.Link to the Trade Secret Certification Service Prove the original document of trade secret with the time stamp of ownership for judicial evidences. 4.Link to Information Security Solution Cooperate with various information security solutions, such as trade secret control and outflow block. Trade Secret Certification Service The Trade Secret Certification Service which is built to link to standard management system is put into practice in 2010 by Korean Intellectual Property Office. This service operates by taking the hash values from trade secret e-documents and combining them with authorized time values from trusted third-parties, thereby creating time stamps. Time stamps are then registered with the Korea Institute of Patent Information to prove the existence of original document of trade secrets, as well as and their initial dates of possession. A legal basis is built for the Trade Secret Certification Service in 2014. Amendments of Unfair Competition Prevention and Trade Secret Protection Act indicate registration and proof of the Trade Secret Certification Service and explain that an institution with more than 3 qualified staff and required facilities is eligible to be a Trade Secret Certification Service institution. The Trade Secret Certification Service is characterized by the following properties: 1.Block Trade Secret Outflow Radically Instead of the trade secret itself, this service only asks for hash value of e-records and the authorized time of ownership which make it more secure for corporations to manage trade secrets rather than maintaining under a third-party. 2.Various Electronic Records Available Various types of electronic records are available in this service, such as documents, pictures and video files which could contain production process, laboratory notebook, blueprint, marketing records, financial records, selling information and customer information and contracts. 3.Institution with Credibility It is inevitable that any piece of information could be leaked out; hence trade secret management should be executed by credible institution. For example, corporation can ask the Trade Secret Certification Service Institution to register an original document for a blueprint and get a certification. Then, the corporation can ask for new registration for modified blueprint as well. When issue occurs, the certification would be the proof of original document and time of ownership. As the Trade Secret Certification Service Institution gets legalized, the evidence of original document of trade secrets and initial dates of possession would get more convincible in court. Conclusion The trade secret diagnosis plays an essential role in understanding the level of trade secret management in corporations. The standard management system further provides with improvement and solution for trade secret protection based on diagnosis. In addition, legalized Trade Secret Certification Service also levitates the burden of proof on corporation. South Korea’s experience in trade secret management could be a good example for Taiwan to follow.