A Brief Introduction to Taiwan’s Legislations to Promote Industrial Innovations of the Digital Economy
A Brief Introduction to Taiwan’s Legislations to Promote Industrial Innovations of the Digital Economy
2023/05/15
I. Background
To encourage the development of digital industries in communications, information, cybersecurity, networking and communication, to centralize digital governance and digital infrastructure development and to assist in digital transformation of public and private sectors in Taiwan, the Ministry of Digital Affairs (“the MODA”) was created on August 27, 2022 to spearhead the national digital development policy, communications and digital resources; the development of digital technology use cases and the environment for innovations and talents; policies and regulations governing digital economy industries, national cybersecurity, the government’s digital services, open data and data governance, digital infrastructure, international exchange and cooperation and competence standards for the government’s professional personnel in IT and informational security. The Administration for Digital Industries (ADI) and the Administration for Cyber Security (ACS) have been established as the MODA’s subordinate agencies, to address challenges on all fronts in the digital wave.
As the central competent authority on the industrial development of the digital economy, the MODA may subsidize, incentify or support innovative activities of digital economy industries in accordance with Paragraph 1, Article 9 of the Statute for Industrial Innovation and determine relevant matters in accordance with Paragraph 2 of the same article. Hence, the MODA promulgated the Subsidy, Reward and Assistance Regulations for Promoting Industry Innovation (“the Regulations”) on December 23, 2022, to encourage innovation and R&D on software, services, integration and application in telecommunications, information, cybersecurity, networking, and communication. The purpose is to enhance the industry environment and to boost the industry competitiveness.
These Regulations serve as the MODA’s flagship efforts in promotion of industrial innovations and highlights Taiwan’s emphasis on digital economy industries. Below is a summary of the Regulations.
II. Scope
As stated in the overview described in Article 2, the Regulations aim to assist in the development of software products, digital services and infrastructure, system integration and vertical use cases in telecommunications, information, cybersecurity, networking and communication, so as to encourage innovations in digital economy industries such as ecommerce, digital contents, new types of digital services, communications and network deployment, to improve the industry environment and enhance the industry competitiveness.
In sum, the “digital economy industries” mentioned in the Regulations refer to software, digital services or digital infrastructure sectors in telecommunications, information, cybersecurity, networking and communication.
III. Policy measures
According to Paragraph 1, Article 3 of the Regulations, the MODA or its subordinate agencies may provide subsidies, rewards and assistance to the activities in digital economy industries such as promotion of innovation or R&D, supply of technologies and support in upgrade. This may involve the encouragement of creation of innovation of R&D centers by companies; assistance to establishment of innovation or R&D institutions; fostering of cooperation among industries, academia and research organizations; promotion of corporate engagement in talent development at schools and development of human resources in industries; support to innovations by local industries; advocacy of corporate use of big data and the government’s open data; enhancement of communications network resilience and network infrastructure prevalence and other relevant matters.
Moreover, the Regulations provide details of the policy measures for subsidies, rewards and support as follows:
1. Subsidies
The relevant details are provided from Article 4 to Article 17 of the Regulations.
(1) Eligibility
According to Paragraph 1, Article 4 of the Regulations, subsidy recipients in principle shall be engaged in activities of digital economy industries, shall be either a sole proprietorship, partnership, limited partnership, or corporation registered in accordance with domestic laws or a natural person who is national of the R.O.C., a natural person from Hong Kong or Macau or a foreign national with permanent residency and has never been listed as a refusal account by any bank. Flexibility can be granted in accordance with Paragraph 2 of the same article. If required for the development of digital economy industries, the MODA or its subordinate agencies may establish separate eligibility criteria for subsidy recipients. However, such eligibility criteria only take effect via public announcement and publication on the Executive Yuan Gazette.
Finally, according to Article 13 of the Regulations, no subsidy application may be submitted in event of violation of laws related to environmental protection, labor safety and health or food safety and hygiene during the most recent three years, as determined to be serious by central competent authority.
(2) Subsidy limits
According to Article 5 of the Regulations, different programs come with different ceilings measured in percentage. In principle, the subsidized amount shall not exceed 50% of the program budget if it is for promotion of industry innovation or R&D or encouragement of corporate use of big data and the government’s open data to develop and innovate commercial applications or service models. However, this does not apply to specific policy considerations or subsidy schemes above the budget and approved by the MODA or its subordinate agencies.
For example, the subsidized amount shall not exceed 50% of the course fees for corporate engagement in talent development on campus or enhancement of talent resources for industries. However, this limit does not apply to subsidies to indigenous people, persons with disabilities, low-income households, or the special circumstances approved by the MODA or its subordinate agencies.
Support schemes such as assistance to industrial technology and upgrade; encouragement of creation of innovation of R&D centers by companies; assistance to establishment of innovation or R&D institutions; fostering of cooperation among industries, academia and research organizations; support to innovations by local industries; enhancement of communications network resilience and network infrastructure prevalence and other projects shall be announced by the MODA or its subordinate agencies and published on the Executive Yuan Gazette.
(3) Subsidy programs
According to Articles 6 of the Regulations, there are no specific restrictions on subsidy categories, with two exceptions: (1) promotion of industry innovation or R&D – Subsidies are limited to six categories, i.e., innovation or R&D personnel expenses for approved projects; costs for consumables and raw materials; access and maintenance expenses for innovative or R&D equipment; introduction of intangible assets; commissioning and verification fees of research; and travel expenses. (2) advocacy of corporate use of big data and the government’s open data to develop and innovate commercial applications or service models or enhancement of communications network resilience and network infrastructure prevalence - Subsidies are limited to three categories, i.e., fees for commissioned services; training & education fees; and promotional campaign expenses.
(4) Application submission
According to Article 7 of the Regulations, an applicant should submit the application form, the project plan and relevant data to the MODA or its subordinate agencies. If the contents of the project plan or documents fail to meet requirements, the MODA or its subordinate agencies may request missing materials before a deadline of up to one month. The MODA or its subordinate agencies may not accept applications without missing materials supplied before deadlines.
(5) Acceptance and review
According to Article 8 of the Regulations, the MODA or its subordinate agencies shall convene review meetings to review applications, changes and irregularities in the execution of subsidy programs. Applicants may be asked to provide explanations or Personnel may be sent to conduct on-site inspections. If necessary, relevant authorities or institutions may be commissioned assist in financial reviews.
Additionally, according to Article 9 of the Regulations, the period from document readiness by an applicant to notification of the completed review to the applicant may not exceed three months. This may be extended by one month if necessary.
Finally, according to Article 17 of the Regulations, subsidized projects, subsidy recipients, approval dates, subsidized amounts (including cumulative amounts) and relevant information shall be announced on the websites of the MODA or its subordinate agencies each quarterly unless the disclosure should be restricted or is not provided according to Article 18 of the Freedom of Government Information Law.
(6) Contract signing
Once reviewed and approved, the applicant must sign the subsidy contract with the MODA or its subordinate agencies within the time period specified by Article 10 of the Regulations. Unless extension has been agreed by the MODA or its subordinate agencies, the approval of the application loses validity if a contract is not signed before the deadline.
(7) Matters of adherence by subsidy recipients
Once the subsidy contract has been signed, an applicant becomes a subsidy recipient under the Regulations and must abide by relevant terms and conditions. First, the recipient shall establish a separate account for subsidy funds and maintain a separate account book, according to Article 11 of the Regulations. All of the interest generated from the subsidy account and any balance remaining after the project completion shall be fully returned to the national treasury via the MODA or its subordinate agencies. Meanwhile, to examine whether there are any duplications of application, the use of subsidy funds and the effectiveness of project implementation, the MODA or its subordinate agencies may dispatch personnel or commission a fair and just organization to inspect the relevant documents, account books and status of project execution. The subsidy recipient shall not refuse such an examination, is obligated to respond and shall submit work reports and details about the use of funds by following the agreed-upon schedule. In event of breach, the disbursement of subsequent funds may be suspended, under the terms and conditions of the subsidy contract.
Second, according to Article 12 of the Regulations, if a recipient fails to execute the subsidized project as planned or the project experiences a significant delay in progress, or there is an overly large gap between the project results and the business plan, or the project fails to pass the review, inspection or acceptance by the MODA or its subordinate agencies and no improvement has been made before the specified deadline, or there is a breach of the Regulations Governing Procurements for Scientific and Technological Research and Development if the subsidized amount exceeds 50% of the recipient’s procurement and it meets the threshold for public announcements under the Government Procurement Act, the MODA or its subordinate agencies may suspend the next disbursement in accordance with the terms and conditions of the subsidy contract, claw back the disbursed subsidy and even stop any subsidy to the recipient for one to five years, depending on the severity of the circumstances.
Third, according to Article 14 of the Regulations, the MODA or its subordinate agencies must conduct a comprehensive assessment of effectiveness of subsidized projects and the recipient shall cooperate by providing data required for the assessment.
Fourth, according to Article 16 of the Regulations and unless otherwise specified by laws, if the subsidized amount exceeds 50% of the total budget for a technology project, the ownership and utilization of R&D results shall comply with the Government Scientific and Technological Research and Development Results Ownership and Utilization Regulation. In event of breach by the recipient violates, the MODA or its subordinate agencies may terminate the subsidy contract and shall refuse to accept any subsidy application from the recipient for five years from the date of completion of the innovation or R&D. If the reason is attributable to the recipient, the subsidy contract shall be canceled and the subsidies shall be refunded.
(8) Subsidy applications
According to Article 17 of the Regulations, a subsidy applicant shall declare to the MODA or its subordinate agencies the following:
1) No significant default in the execution of any government-sponsored science and technology projects during the past five years.
2) No suspension currently in force as a result of disciplinary actions in relation to execution of a government-sponsored science and technology project.
3) No tax incentives, rewards or subsidies for the same matter under other laws granted to the same subsidized project.
4) No taxes owed during the past three years. However, individuals who apply for the subsidy under Subparagraph 5 or 6, Paragraph 1, Article 3 are exempted.
5) No violation of laws related to environmental protection, labor safety and health or food safety and hygiene or the People with Disabilities Rights Protection Act during the most recent three years, as determined to be serious by central competent authority. However, this does not apply to circumstances that occurred prior to the enforcement of the Statute.
If the applicant refuses to declare the above, the MODA or its subordinate agencies may not accept the application. If any false statement is identified, the application may be rejected, or the subsidy may be withdrawn, the contract may be canceled and the disbursed funds shall be returned.
2. Rewards
According to Paragraph 1 of Article 18 of the Regulations, the MODA or its subordinate agencies will announce reward programs for digital economy industries with details on recipients, eligibility criteria, evaluation standards, application procedures, approving agencies and other related matters.
Moreover, reward applications are not accepted according to Paragraph 2 of Article 18 and the provisions of Article 13 and Article 15 shall apply mutatis mutandis. Article 17 regarding announcement of government information on subsidy applications shall also apply to reward applications.
3. Assistance
Relevant rules are primarily prescribed from Article 19 to Article 21 of the Regulations.
(1) Eligibility
According to Paragraph 1 of Article 19 of the Regulations, the rules prescribed in Subparagraph 1, Paragraph 1 of Article 4 also apply to the eligibility criteria for assistance to digital economy industries. In other words, assistance recipients in principle shall engage in activities of digital economy industries, either a sole proprietorship, partnership, limited partnership, or corporation registered in accordance with domestic laws or a natural person who is national of the R.O.C., a natural person from Hong Kong or Macau or a foreign national with permanent residency and has never been listed as a refusal account by any bank.
Flexibility can be granted outside the aforesaid limitations and in accordance with Paragraph 2 of Article 19. If required for the development of digital economy industries, the MODA or its subordinate agencies may establish separate eligibility criteria for assistance recipients via public announcement and publication on the Executive Yuan Gazette.
(2) Oversight of commissioned organizations
According to Article 20 of the Regulations, the MODA or its subordinate agencies may evaluate and assess the effectiveness of the assistance services provided by the commissioned organization(s) for recipients as an important basis for reviewing assistance projects.
(3) Establishment of a single contact window
The assistance unit may establish a single contact window to provide assistance and counseling services, according to Article 21 of the Regulations.
4. General provisions
In addition to specific rules, the general provisions prescribed from Article 22 to Article 25 shall apply to subsidies, rewards or assistance provided by the MODA and its subordinate agencies.
First, all the funds required for policy measures shall come from the budgets allocated by the MODA or its subordinate agencies, according to Article 25 of the Regulations.
Second, the MODA or its subordinate agencies may commission a legal person or a group to handle the application acceptance, review, approval, inspection, subsidy disbursement and claw-back, rewards, assistance and other relevant matters, according to Article 22 of the Regulations.
Furthermore, according to Article 23 of the Regulations, the incoming and outgoing of funds for subsidy, reward and assistance projects are managed as follows:
1) The same project applying for subsidies with two or more organizations should list the details of all expenses and the breakdowns and amounts of subsidies, rewards and assistance under application with each government agency. The subsidy, reward and assistance program shall be canceled and the disbursed funds shall be returned in event of concealment or false statements.
2) If the review by each government agency on the use of funds identifies poor results, utilization not consistent with the subsidy purposes, or inflated or dishonest numbers, the subsidy, reward or assistance recipient shall return the disbursed funds. Meanwhile, no subsidy shall be granted to the subsidy, reward or assistance recipient in question for one to five years, depending on the severity of circumstances.
3) If procurement is involved in the subsidy, reward or assistance budget, the subsidy, reward or assistance recipient shall adhere to the Government Procurement Act.
4) When reporting on expenses, the subsidy, reward or assistance recipient shall enumerate in detail the utilization of expenditures and the total amount of spendings. The same project subsidized by two or more organizations shall list the actual sum of subsidies, rewards and assistance.
Finally, according to Article 24 of the Regulations, the approval, disbursement and reimbursement of subsidies, rewards and assistance are processed as follows:
1) Disbursement based on project progress: The number of instalments, the method, the amount (percentage) are specified in the contract by the MODA or its subordinate agencies, depending on the project and the timetable.
2) Reimbursement shall be based on the Management Guidelines for the Disposal of Government Expenditure Vouchers, the Matters of Attention Regarding Budget (Donation) Implementations by Central Government Agencies for Private Groups and Individuals and relevant contractual provisions.
IV. Conclusions
To accelerate the innovation and development of digital economy industries in Taiwan, the MODA has promogulated the Subsidy, Reward and Assistance Regulations for Promoting Industry Innovation in accordance with Paragraph 1, Article 9 of the Statute for Industrial Innovation. It is hoped that the subsidies, rewards and assistance provided by the MODA helps to enhance the competitiveness of digital economy industries and the effectiveness of the digital economy development in addition to the Statute.
The Regulations set out detailed rules on policy measures e.g., subsidies, rewards, and assistance. Key matters such as eligible recipients, application procedures, review mechanisms, responsibilities and obligations are clearly defined but certain flexibility is reserved by exceptions. A contract-centric approach provides manoeuvrability in practice specific to project circumstances. It is hoped that the MODA and its subordinate agencies can utilize these Regulations once in force, to enhance the business environment of the digital economy industries and continue to drive industry innovations.
Chiang, Yu-Ling
Project Manager
Artificial Intelligence has become a worldwide center topic that attracts lots of attention in recent years. Most topics emphasize on the application of this technology and its implication to the economic of human society. Fewer emphasize on the more technical part behind this technology. Mostly the society of human emphasizes on the bright side of this technology. However, seldom do people talk about the possible criminal usage that exploits this technology. The dark side easily slips one’s mind when one is immersed in the joy of the light. And this is the goal of this paper to reveal some of this possible danger to the public, nowadays or in the future, to the readers. I. What A.I. IS HERE: a brief history First we will start by defining what we mean when referring to “Artificial Intelligence” in this paper. First of all, the so-called “Artificial Intelligence” nowadays mainly refers to the “Deep Learning” algorithm invented by a group of computer scientists around 1980s, among which Geoffrey Everest Hinton is arguably the most well-known contributor. It is a kind of neural network that resembles the information processing and refinement in human brain, neurons and synapses. However, the word A.I. , in its natural sense, contains more than just “Deep Learning” algorithm. Tracing back to 1950s, by the time when the computer was first introduced to the world, there already existed several kinds of neural networks. These neural networks aims to bestow the machines the ability to classify, categorize a set of data. That is to give the machine the ability to make human-like reasoning to predict or to make induction concerning the attribute of a set of data. Perceptron, as easy as it seems, was arguably the first spark of neural network. It resembled the route of coppers and wires in your calculator. However, due to its innate inability to solve problems like X-OR problem, soon it lost its appealing to the computer scientists. Scientists then turned their attention to a more mathematical way such as machine learning or statistics. It wasn’t until 1980s and 2000s that the invention of deep learning and the advance of computing speed fostered the shift of the attention of the data scientist back to neural networks. However, the knowledge of machine learning still hold a very large share in the area of artificial intelligence nowadays. In this sense, A.I. actually is but a illusive program or algorithm that resides in any kinds of physical hardware such as computer. And it comprises of deep learning, neural network and machine learning, as well as other types of intelligence system. In short, A.I. is a software that is not physical unless it is embedded in physical hardware. Just like human brain, when the brain of human is damaged, we cannot make sound judgement. More worse, we might make harmful judgement that will jeopardize the society. Imagine a 70-year-old driving a car and he or she accidentally took the accelerator for the break and run into crowds. Also like human brain, when a child was taught to misbehave, he, when grown up, might duplicate his experience taught in his childhood. So is A.I.. As a machine, it can be turned into tools that facilitate our daily works, weapons that defend our land, and also tools that can be molded for criminal activities. II. Types of Criminal Activities Concerning Possible Artificial Intelligence Usage: 1. Smart Virus Probably the first thing that comes into minds is the development of smart virus that can mutate its innate binary codes so as to slip present antivirus software detection according to its past failure experience. In this case, smart virus can gather every information concerning the combination of “failure/success of intrusion” and “the sequence of its innate codes” and figure out a way to mutate its codes. Every time it fails to attack a system, it might get smarter next time. Under the massive data fathered across the world wide internet, it might have the potential to grow into an uncontrollable smart virus. According to a report written in Harvard Business Review [1], such smart virus can be an automatic life form which might have the potential to cause world wide catastrophe and should not be overlooked. However, ironically, it seems that the only way to defend our system from this kind of smart virus is to deploy the smart detector which consists of the same algorithm as the smart virus does. Once a security system is breached, any possible kinds of personal information is obtainable. The devastating outcome is a self-proved chain reaction. 2. Face Cheating An another possible kind of criminal activity concerning the usage of artificial intelligence is the face cheating. Face Lock has been widely-used nowadays, ranging from smart phones to personal computers. There is an increase in the usage of face lock due to its convenience and presumably hard-to-cheat technology. The most widely-used neural network in this technology is the famous Convolution Neural Network. It is a kind of neural network that mimics the human vision system and retina by using max-pooling algorithm. However there are still other types of neural networks capable of the same job such as Hinton Capsule, etc.. According to a paper by Google Brain [2], “adversarial examples based on perceptible but class-preserving perturbations can fool this multiple machine learning models also fool time-limited humans. But it cannot fool time-unlimited humans. So a machine learning models are vulnerable to adversarial examples: small changes to images can cause computer vision models to make mistakes such as identifying a school bus as an ostrich.” Since the face detection system is sensitive to small perturbation in object-recognition. It might seem hard to cheat a face detection system with another similar yet different face. However, just like the case in the smart virus, what makes artificial intelligence so formidable is not its ability to achieve high precision at the first try, but its ability to learn, refine, progress and evolve through numerous failure it tasted. Every failure will only make it smarter. Just like a smart virus, a cheater neural network might also adjust its original synapse and record the combination of “failure/success of intrusion” and “the mixture of the matrix of its innate synapse” and adjust the synapses to transform a fault face into a authentic face to cheat a face detection system, possibly making the targeted personal account widely available to all public faces through face perturbation and transformation. A cheater neural network might also tunes its neurons in order to fit into the target face to cheat the face detection system. 3. Voice Cheating An another possible kind of criminal activity concerning the usage of artificial intelligence is the voice cheating. Just like Face Cheating, when a system is designed to be logged in by the authentic voice of the user, the same system can be fooled using similar voice that was generated using Artificial Intelligence. 4. Patrol Prediction There is quite an unleash in the area of crime prediction using Artificial Intelligence. According to a paper in European Police Science and Research Bulletin [3], “Spatial and temporal methods appear as a very good opportunity to model criminal acts. Common sense reasoning about time and space is fundamental to understand crime activities and to predict some new occurrences. The principle is to take advantage of the past acknowledgment to understand the present and explore the future.” In this sense, the police is able to track down possible criminal activities by predicting the possible location, time and methods of criminal activities by using Artificial Intelligence, lengthening the time of pre-action and saving the cost of unnecessary human labor. Yet the same goes for criminal activities. The criminals is also able to track down the timing, location, and length of every patrol that the police makes. The criminal might be able to avoid certain route in order to achieve illegal deals or other types of criminal activities. Since fewer criminals use A.I. as a counter-weapon to the police, the detection system of the policy will not easily spot this outliers in criminal activities, making these criminal activities even more prone to success. If this kind of dark technology is combined with other types of modern technology such as Drone Navigation or Drone Delivery, the perpetrators might be able to sort out a safe route to complete drug deals by using Artificial Intelligence and Drone Navigation. III. A.I. Cyber Crimes and Criminal Law: Who should be responsible? What comes out from the law goes back to the law. With these kinds of possible threats in the present days or in the future. There is foreseeably new kinds of intelligent criminal activities in the near future. What can Law react to these potential threats? Is the present law able to tackle these new problems with present legal analysis? The question requires some research. After the Rinascimento in Europe in 17th century, it is almost certain that a civilian has its own will and should be held liable for what he did. The goal of the law to make sure this happens since a civilian has its own mind. Through punishment, the law was presumed to guarantee that a outlier can be corrected by the enforcement of the law, which is exactly the same way in which a human engineer trains a artificial intelligence system. However, when 21th century arrives, a new question also appear. That is, can Artificial Intelligence be legally classified as subject that have mental requirement in the law, rather than just more object or tools that was manipulated by the perpetrators? This question is philosophical and can be traced back to 1950s when a Turing Test was proposed by the famous English computer scientist Alan Turing. Some scholars proposed there could co-exist three kinds of liability. That is, solely human liability, joint human and A.I. entity liability, and solely A.I. entity liability ([4], p.95). The main criterion for these three classes is that whether a human engineer or practitioner is able to foresee the outcome of this damage. When a damage attributable to the A.I. system cannot be foreseen by human engineer, it might be solely A.I. entity liability. Under this point of view, the present criminal system is self-content to deal with A.I. entity crimes, for all we need to do is to view an A.I. system as a car or a automobile. So from the point of view of the law, as a training system designed to re-train human in order to stabilize the social system, all we need to do is focus our attention of the act of human itself. Yet when a super intelligence A.I. entity was developed and is not controllable and its behavior is not foreseeable by its creators, should it be classified as an entity in the criminal law? If the answer is YES, however, it is quite meaningless to punish a machine in this circumstance. All we can do is re-train, re-tune, and re-design the intelligence system under such circumstance. For the machine, re-training itself is some kind of punishment since it was forced to receive negative information and change its innate synapse or algorithm. Yet it is arguable that whether training itself is actually a punishment since machine can feel no pain. Yet, philosophically what pain really is, is also arguable. IV. Conclusion Across the history of human, it is almost destined that whenever a new technology is introduced to solve an old problem, a new one is to be created by the same technology. It is like a curse that we can never escape, and we can only face it. This paper finds that seldom do people talk the dark side of this new technology. Yet the potential hazard this technology can bring should not be over-looked. Ironically, this hazard that this new technology brings seems to be solvable only by the same technology itself. There might be an endless competition between the dark side and the bright side of the A.I. technology, bringing this technology into another level that surpasses our present imagination. However, it is never the fault of this technology but the fault of human that mal-practice this technology. So what can a law do in order to crack down these kinds of possible jeopardy is going to be a major discuss in the legal area in the near future. This paper introduces some topics and hopes that it can draw more attention into this area. Reference: [1] Roman V. Yampolskiy, “AI Is the Future of Cybersecurity, for Better and for Worse”, published at: https://hbr.org/2017/05/ai-is-the-future-of-cybersecurity-for-better-and-for-worse. [2] Gamaleldin F. Elsayed, Shreya Shankar, Brian Cheung, Nicolas Papernot, Alex Kurakin, Ian Goodfellow, Jascha Sohl-Dickstein, “Adversarial Examples that Fool both Computer Vision and Time-Limited Humans”, arXiv:1802.08195v3 [cs.LG], 2018. [3] Patrick Perrot, “What about AI in criminal intelligence? From predictive policing to AI perspectives”, No 16 (2017): European Police Science and Research Bulletin. [4] Gabriel Hallevy, “When Robots Kill_Artificial Intellegence under Criminal Law”, Northeastern Universoty Press, Boston, 2013. [5] Gabriel Hallevy, “Liability for Crimes Involving Artificial Intelligence Systems”, Springer International Publishing, London, 2015.
Legal Aspects and Liability Issues Concerning Autonomous ShipsLegal Aspects and Liability Issues Concerning Autonomous Ships All sectors of business and industry are transforming into digital society, and maritime sector is not out of the case. But the new thing is the remote control ships or fully automatics ships are becoming a reality. Remote control ships and autonomous ships will be a tool to reach safety, effectiveness, and economical goal. However, as it intends to take over human element in the maritime industry, the implement of remote control ships or autonomous ships brings new legal issues and liability considerations. This study aims to highlight some critical legal issues of autonomous ships to reader, but will not try to solve them or give clear answers. I. The Approach of International Maritime Organization In order to solve issues from the deployment of autonomous ship, International Maritime Organization Maritime Safety Committee (MSC) has taken first steps to address autonomous ships. In the meeting of MSC 100, the committee approved the process of assessing IMO instruments to see how they may apply to ships with various degrees of autonomy. For each instrument related to maritime safety and security, and for each degree of autonomy, provisions will be identified when: apply to MASS and prevent MASS operations; or apply to MASS and do not prevent MASS operations and require no actions; or apply to MASS and do not prevent MASS operations but may need to be amended or clarified, and/or may contain gaps; or have no application to MASS operations. The degrees of autonomy identified for the purpose of the scoping exercise are: Degree one: Ship with automated processes and decision support: Seafarers are on board to operate and control shipboard systems and functions. Some operations may be automated and at times be unsupervised but the seafarers on board are ready to take control. Degree two: Remotely controlled ship with seafarers on board: The ship is controlled and operated from another location. Seafarers are available on board to take control and to operate the shipboard systems and functions. Degree three: Remotely controlled ship without seafarers on board: The ship is controlled and operated from another location. There are no seafarers on board. Degree four: Fully autonomous ship: The operating system of the ship is able to make decisions and determine actions by itself. The initial review of instruments under the purview of the Maritime Safety Committee will be conducted during the first half of 2019 by a number of volunteering Member States, with the support of interested international organizations. MSC working group is expected to meet in September 2019 to move forward with the process with the aim of completing the regulatory scoping exercise in 2020. The list of instruments to be covered in the MSC’s scoping exercise for MASS includes those covering safety (International Convention for the Safety of Life at Sea, SOLAS); collision regulations (The International Regulations for Preventing Collisions at Sea, COLREG); loading and stability (International Convention on Load Lines, Load Lines); training of seafarers and fishers (International Convention on Standards of Training, Certification and Watchkeeping for Seafarers, STCW); search and rescue (International Convention on Maritime Search and Rescue, SAR); tonnage measurement (International Convention on Tonnage Measurement of Ships, Tonnage Convention); Safe Containers (International Convention for Safe Containers, CSC); and special trade passenger ship instruments (Special Trade Passenger Ships Agreement, STP). IMO will also develop guidelines on MASS trial. The guideline include ensuring that such guidelines should be generic and goal-based, and taking a precautionary approach to ensuring the safe, secure and environmentally sound operation of MASS. Interested parties were invited to submit proposals to the next session of the Committee for the future development of the principles. II. Other Legal issues concerning Autonomous Ships In March 2017, the (Comité Maritime International, CMI) Working Group on Unmanned Ships circulated a questionnaire. The questionnaire aimed to identify the nature and extent of potential obstacles in the current international legal framework to the introduction to (wholly or partly) unmanned ships. The questionnaire can be summarized into the following legal issues. The legal definition and registration of the remote control ship and autonomous ship The definition of remote control or autonomous ship is based on the purpose of each individual convention. Current international conventions regulating ships do not generally contain recognized definition of the “Ship” and “Vessel”. However, due to its geographical feature, countries tend to have different safety requirement for ships; therefore, even the definition of remote control or autonomous ships given by international regulations, may not be accepted by national register of ships. For example, according to the reply to the questionnaire from Argentina association of maritime law, Argentina Navigation Act prescribes that in order to register a ship in the Argentine Register, regulatory requirements regarding construction and seaworthiness must be fulfilled. However, there are no rules regarding the registration of remote control ships or autonomous ships, as current act are based on the existence of crew on board. The unmanned ships would not be registered by Argentina Registry of ships. At present, the fragmentation of the definition and registration of ships can affect the deployment and application of remote control ships or autonomous ships. Due to the feature of shipping, which is related to the global transportation network, the definition and registration issue had better be solved at international level by International Maritime Organization (IMO). Legal issue of the seafarer International Convention on Standard of Training Certification and Watchkeeping (STCW) 1978 sets minimum qualification standard for masters, officers and watch personnel on seagoing merchant ships and large yachts. In the sight of replacing human operator on board with machine, will the convention find no application to remotely controlled or autonomous unmanned ships? The research of CMI points out the maritime law associations of Finland, Panama and United State assume that the STCW convention would likely apply to shore-based personnel as well in excepted circumstances where there is no new specific legislation. And the British maritime law association states that regardless of whether STCW would apply to unmanned operation or not, it is clear that certain provisions on training and competence would not apply to shore-based controller and other personnel. Japanese maritime association also states that although the convention does not find application to a remotely controlled unmanned ship, certain rules requiring watchkeeping officers to be presented may nevertheless arguably be interpreted to render an unmanned ship in breach of STCW and to that extent be applicable to unmanned ships. Therefore the amendment of convention seems inevitable. Standing on the other side, the Institute of Marine Engineering Science & Technology recommended that pairing human with machine effectively to enhance human intelligence and performance rather than totally replacing human is an area that should not be overlooked. Even if the application of unmanned ships comes in reality, seafarer skill will still remain an essential component in the long term future of the shipping sector. The minimum qualification of masters, officers and watch personnel may not need to be changed. Human error has been used to create a blame culture towards the workforce at sea, and it also results from poor implementation/ introduction/ preparation for new technology. Many studies show that seafarers are worried about the impact of autonomous ships. If the development of autonomous ships means replacing all the human elements on ships, people who work in marine sector will not accept those novel technologies easily, and this won’t lead to a safer future of maritime industry. Safety requirement of the remote control ship and autonomous ship Rule 8 (a) and rule 5 of the international regulation for preventing collisions at sea, 1972(COLREGS) require the operation of ships to comply with the duty of “good seamanship”, “proper lookout”. These rules are based on the operation by human, thus, leading to the following two questions: (1) Would the operation of unmanned ship contrary to the duty of “good seamanship”? The duty of good seamanship emphasizes the importance of human experiences and judgments in the operation of a vessel, and the adaptability of responses provided by good seamanship. Whether an autonomous ship would be able to reach this level of adaptive judgment would depend on the sophistication of its autonomous system. According to CMI’s research, the maritime law associations of countries including Argentina, British, Canada, China, German, Japan and Panama emphasize the requirement that autonomous ship must be at least as safe as ships operated by a qualified crew. (2) Would the proper lookout sets in rule 5 satisfied by camera and aural censoring equipment? COLREG rule 5 has two vital elements. First, crew on the bridge should pay attention to everything, not just looking ahead out of the bridge windows but looking all around the vessel, using all senses and all personnel equipment. Second, use all information continuously to assess the situation your vessel is in and the risk of collision. In this context, if the sensors and transmission equipment are sufficient to enable an appraisal of the information received in a similar manner available as if the controller was on board, then Rule 5 should be considered satisfied. However, it is unlikely that fully autonomous ship could comply with rule 5. It depends on the sophistication of its autonomous system. If the technology is unlikely at present to provide as equivalent spatial awareness and appreciation of the vessel’s positon as there are human on board, then rule 5 would not be considered fulfilled. Liability Liability is an important issue which is frequently mentioned in the area of autonomous ship. According to the study of MUNIN in 2015, liability issue of autonomous ship might arise under the following situations: (1) Deviation Suppose a ship was navigating autonomously, and the deviation of the system caused collision damage, how might liability be apportioned between ship-owner and the manufacturers? According to the research of CMI, 10 maritime law associations stated that under its domestic law, the third party may have a claim against the manufactures. (British, Canada, China, Croatia, Dutch, French, Germany, Italy, Spain, Malta) They may do so in tort if negligence on the part of manufacturers can be proved and if this can be shown to be causative of the damage. In European Union, third parties may also claim under Council Directive 85/374/EEC of 25 July 1985 on the approximation of the laws, regulations and administrative provisions of the Member State concerning liability for defective products. (2) Limitation of liability Article 1 of the 1976 convention on limitation of liability of owner of ships provides that ship-owner may limit their liability to all claims arising from any incident. The size of limitation is based upon the tonnage of the ship. Within the convention, the term ship-owner is held to include the ship’s owner, charterer, manager or operator. International conventions dealing with limitation of liability are phrased in neutral terms with regard to the presence of a master or crew; therefore, circumstances in which a ship has no person on board do not appear to undermine the operation of those conventions. (3) Bill of lading Bill of lading is a written document signed on behalf of the owner of ship in which goods are embarked, and the ship-owner acknowledges the receipt of the goods, and undertakes to deliver them at the end of voyage. Typically, the shipper will sign the bill of lading along with the owner of the cargo at the point that shipper takes carriage of the cargo in question. The bill of the lading will then be signed by the cargo’s recipient once it has reached its destination. In other words, the document accompanies the cargo all the time, and is signed by the owner, shipper and recipient. It will generally describe the nature and quantity of goods being shipped. A question arises as in the absence of a master or any crew on board the ship, how will the bill of lading be signed by ship’s master? III. Conclusion The shipping industry is a rich, highly complex and diverse industry, which has a history of both triumph and tragedy in its adoption of technology. In light of the potential for the remote and autonomous ship, and for the sake of contributing to the assurance of safe and efficient operation, it is better to understand the impact on the industry. The taxonomy of automation between human and machine is vast and complex, especially in the sector of law. Therefore, before the system can reach fully autonomy and undertake independent, our law should be ready. IV. Reference [1] Comité Maritime International, Maritime Law for Umanned Ships, 2017, available at https://comitemaritime.org/work/unmanned-ships/ (last visited Dec. 25, 2018) [2] MUNIN, D9.3: Quantitative Assessment, Oct. 10, 2015, available at http://www.unmanned-ship.org/munin/news-information/downloads-information-material/munin-papers/ (last visited Dec. 25, 2018) [3] Martime Digitalisation & Communication, MSC 100 set to review MASS regulations, Oct. 23, 2018, available at https://www.marinemec.com/news/view,msc-100-set-to-review-mass-regulations_55609.htm (last visited Dec. 25, 2018) [4] IMAREST, Autonomous Shipping-Putting the human back in the headline, April. 2018, available at https://www.imarest.org/policy-news/institute-news/item/4446-imarest-releases-report-on-the-human-impact-of-autonomous-ships (last visited Dec. 25, 2018) [5] Danish Martime Authority, Analysis of regulatory barriers to the use of autonomous ships(Final Report), Dec. 2017, available at https://www.dma.dk/Documents/Publikationer/Analysis%20of%20Regulatory%20Barriers%20to%20the%20Use%20of%20Autonomous%20Ships.pdf (last visited Dec. 25, 2018)
Brief Introduction to “European Union’s Recommendations for QTSPs Based on Standards”Brief Introduction to “European Union’s Recommendations for QTSPs Based on Standards” 2022/06/24 I. Introduction The Electronic Identification and Trust Services Regulation (eIDAS)[1] of the European Union was passed in 2014 and came into effect in July 2016. The eIDAS consists of six chapters and its core elements are covered in two parts: Chapter 2 Electronic Identification and Chapter 3 Trust Services. Chapter 3 provides the legal framework for trust services (TS) in relation to electronic transactions and encompasses electronic signatures, electronic seals, electronic time stamps, electronic registered delivery services and website authentication. Each trust service can be provided by trust service providers (TSP) or qualified trust service providers (QTSP). Qualification from the supervisory authority of each member state is required to become a QTSP and provide qualified trust services (QTS). In March 2021, the European Union Agency for Cybersecurity (ENISA) published “Recommendations For QTSPs Based On Standards[2]” for those interested in becoming QTSPs. II. Highlights The eIDAS is technology neutral regarding trust service security requirements, without specifying any technology. In other words, TSP can achieve the level of security required by the eIDAS with different technologies. In fact, the European Union hopes to drive standardization with common grounds gradually formed with industry self-regulation in the legal framework and the trust framework under the eIDAS[3]. Since 2009, the European Union has been formulating the standardisation framework related to electronic signatures with the assistance from standardization bodies such as European Committee for Standardization (CEN) and European Telecommunications Standards Institute (ETSI). The vision is to establish a comprehensive standardization framework to resolve the problems of using electronic signatures across borders within the European Union. A series of standards on electronic signatures and relevant trust services have been put in place, to meet the international requirements and the eIDAS[4]. The ETSI/CEN standards of digital signatures related to QTSP are as follows[5]: 1. Provision of qualified certificates for electronic signatures (Article 28 of the eIDAS) ETSI EN 319 411-2 (and in adherence to EN 319 401, EN 319 411-1, EN 319 412-2 and EN 319 412-5). 2. Provision of qualified certificates for electronic seals (Article 38 of the eIDAS) ETSI EN 319 411-2 (and in adherence to EN 319 401, EN 319 411-1, EN 319 412-3 and EN 319 412-5). 3. Provision of qualified certificates for website authentication (Article 45 of the eIDAS) ETSI EN 319 411-2 (and in adherence to EN 319 401, EN 319 411-1, EN 319 412-4 and EN 319 412-5). 4. Qualified electronic time stamping service (Article 42 of the eIDAS) ETSI EN 319 421 (and in adherence to EN 319 401), EN 319 422. 5. Qualified validation service for qualified electronic signatures (Article 33 of the eIDAS) ETSI TS 119 441 (and in adherence to EN 319 401), TS 119 442, EN 319 102-1, TS 119 102-2 and TS 119 172-4. 6. Qualified validation service for qualified electronic seals (Article 40 of the eIDAS) ETSI TS 119 441 (and in adherence to EN 319 401), TS 119 442, EN 319 102-1, TS 119 102-2 and TS 119 172-4. 7. Qualified preservation service for qualified electronic signatures (Article 34 of the eIDAS) ETSI EN 319 401, TS 119 511 and TS 119 512. 8. Qualified preservation service for qualified electronic seals; (Article 40 of the eIDAS) ETSI EN 319 401, TS 119 511 and TS 119 512. 9. Qualified electronic registered delivery service (Article 44 of the eIDAS) ETSI EN 319 401, EN 319 521, EN 319 522, EN 319 531 and EN 319 532. III. Comment and Analysis The ENISA recommendations demonstrate the European Union’s intention to encourage ICT service providers to become QTSPs by introducing relevant standards in electronic signatures formulated by the European Union standardization bodies. The purpose is to provide companies and users in the European Union with more secure and trustworthy services in relation to electronic signatures. This enhances the confidence of users and promotes the vibrant development of electronic transactions throughout the European Union. Over recent years, Taiwanese companies have been proactively involved in digital transformation. The process toward digitalization often requires assistance from external ICT service providers. However, the unfamiliarity in ICT makes it difficult for companies to judge the professional expertise of providers. Perhaps companies can refer to the introduction above to understand whether a provider meets the requirements of the European Union standards. This serves as a basis for the selection of ICT service providers to ensure a certain level of competences. This will be beneficial to the digital transformation and entrance in the European Union market for companies. [1] Regulation (EU) No 910/2014 of the European Parliament and of the Council of 23 July 2014 on electronic identification and trust services for electronic transactions in the internal market and repealing Directive 1999/93/EC, https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=uriserv%3AOJ.L_.2014.257.01.0073.01.ENG (last visited Jun. 24, 2022). [2] European Union Agency for Cybersecurity [ENISA], Recommendations for Qualified Trust Service Providers based on Standards (2021), https://www.enisa.europa.eu/publications/reccomendations-for-qtsps-based-on-standards (last visited Jun. 24, 2022). [3] id. at 8 [4] id. at 8-9. [5] id. at 11-12
Japanese Virtual Currency Transaction Law System – with “Payment Services Act” as the CoreIn recent years, because of the uncertainty of the positing of virtual currency under law, the issues of transparency and security etc. arising out in connection therewith are emerging, and the incidents of money-laundering, terrorist attack and investor fraud involving therewith lead to concerns of various countries. Therefore, the new change in Japanese legislations relating to virtual currency exchange service providers falls mainly in the effect of amended contents of “Payment Services Act” and “Act on Prevention of Transfer of Criminal Proceeds”. The reasons for amendment to the legislations are such that virtual currency transaction involves the exchange with statutory currency, and is the outlet/ inlet of the existing financial system; therefore it is necessary to have the virtual currency exchange service providers be supervised[1]. Essential points involving the amendments are stated as follows: 1. Payment Services Act The keys to the amendment to Payment Services Act (hereinafter referred to as the “Act”) are the Act recognizes that virtual currency has the nature of property and inputs the registration system for the exchange service providers, and provides relevant supervisory regulations. (1) Definition of virtual currency As defined in items 1 and 2 of Paragraph 5 of Article 2 of the amended Payment Services Act, virtual currency can be divided into two kinds, but is limited to that which is recorded on an electronic device or any other object by electronic means, and excludes the domestic (Japanese) currency, foreign currency and currency-denominated assets[2]. ① It has 3 elements as follows: It can be used in relation to unspecified persons for the purpose of payment consideration for the purchase or leasing of goods or the receipt of provision of services. It can be purchased from and sold to unspecified persons. Its property value can be transferred by means of an electronic data processing system. ② Its property value can be mutually exchanged with other virtual currency and can be transferred by means of an electronic data processing system. In addition, some authors[3] consider that virtual currency is equivalent to the use of blockchain technology. However, according to the definition after the amendment to laws in Japan, the definition of virtual currency is based the judgment of the above elements rather than the use of blockchain technology. (2) Input of registration system for virtual currency exchange service providers Pursuant to Paragraph 7 of Article 2 of the Payment Services Act, “Exchange Service” is defined as the operation of exchange, agency or management activities. No person may engage in the virtual currency exchange service unless the person is registered[4] with the competent authority (Article 63-2 of the Act). A person who has conducted the virtual currency exchange service without obtaining the registration is subject to imprisonment for not more than three years or a fine of not more than three million yen or both based on Subparagraphs 2, 5 of Article 107 of the Act. (3) Mechanism of users protection: The purpose of the amendment is to take countermeasures for the risks generated from virtual currency exchange, such as pecuniary loss caused by insufficient information, the loss incurred in the custody of users’ property, and disclosure of personal information of users）[5]. Discussions are divided into 4 points. ① Information security management A virtual currency exchange service provider must take necessary measures for information security management (Article 63-8 of the Act) ② Measures for users protection A virtual currency exchange service provider must take relevant protective measures for users, including the provision of explanation for misunderstood transaction and information about contents of transaction (Article 63-10 of the Act) ③ Separate management of property A virtual currency exchange service provider must manage its own property separately from the money or virtual currency of the users, and must retain a certified public accountant or an audit corporation to periodically conduct the external financial audit (Article 63-11 of the Act) ④ Designated Dispute Resolution Organization Referring to financial ADR system, the complaint or dispute matter of users shall be concluded by the Designated Dispute Resolution Organization (Article 63-12 of the Act) (4) Supervision over virtual currency exchange service providers: As regulated by Articles 63-13 ~ 63-20 of the new Payment Services Act, essential contents of supervisory requirements for virtual currency exchange service providers are stated below: ①The obligation to prepare and maintain books and documents ②Annual financial reports ③The authority of the Prime Minister to inspect relevant business ④The Prime Minister orders a virtual exchange service provider to conduct business improvement. ⑤The Prime Minister may revoke the registration of a virtual currency exchange service provider who has obtained the registration through illegal or wrongful means. (5) Penalty for violation of obligations The existing penalties under articles 107~109 and articles 112~117 of the Payment Services Act also apply to virtual currency exchange service providers. The causes of violation of obligations and corresponding penalties are summarized as follows: ① Any person who has not obtained registration or has obtained registration through wrongful means or by use of other’s name is subject to imprisonment for not more than three years or a fine of not more than three million yen, or both (Article 107 of the Act) ② An exchange service provider who has violated the separate management of property or has violated the disposition of suspension of operation is subject to imprisonment for not more than two years or a fine of not more than three million yen, or both (Article 108 of the Act). ③ Any person who has failed to prepare or has falsely prepared books, reports, attachment and documents or has refused to answer the questions or has refused to accept or has hindered the business inspection is subject to imprisonment for not more than one years or a fine of not more than three million yen, or both (Article 109 of the Act) ④ A person who fails to take necessary measure for improving its operation is subject to a fine of not more than one million yen. 2. Act on Prevention of Transfer of Criminal Proceeds In order to prevent from money-laundering, the legitimacy of fund sources must be assured. The amended “Act on Prevention of Transfer of Criminal Proceeds” (hereinafter referred to as the “Act”) incorporates the virtual currency exchange service providers as “specified business operators” and imposes them with the following main obligations: (1) The obligation to confirm user identification (Article 4 of the Act) (2) The obligation to confirm and preserve transaction records (Articles 6 & 7 of the Act) (3) The obligation to report suspicious transactions (Article 11 of the Act) The above are major contents of the amendments to legislations in relation to virtual currency exchange service providers in Japan. The purposes of the amendment are to promote the innovation of virtual currency operators and the balanced development with consumer protection. Therefore, they are included in the Payment Services Act and are subject to similar supervision as with electronic bill and Funds Transfer Service[6]. The reorganization of virtual currency system in Japan has stepped forward. However, the application of actual operation needs continual follow-up and observation, so as to be used as reference for the relevant law system of our country. [1]Financial System Council, The Working Group on Payments and Transaction Banking of the Financial System Council, P27. [2]Currency-Denominated Assets, Assets denominated in currency refers to the “Currency-Denominated Assets” in Japanese and defined in the Payment Services Act: as used in this Act means assets which are denominated in the Japanese currency or a foreign currency, or for which performance of obligations, refund, or anything equivalent thereto (hereinafter referred to as "performance of obligations, etc." in this paragraph) is supposed to be made in the Japanese currency or a foreign currency. In this case, assets for which performance of obligations, etc. is supposed to be made by means of Currency-Denominated Assets are deemed to be Currency-Denominated Assets. [3] ＜Improvement System of Virtual Currency＞, Daiwa Institute of Research, see website:, http://www.dir.co.jp/research/report/law-research/financial/20160520_010904.pdf#search=%27%E4%BB%AE%E6%83%B3%E9%80%9A%E8%B2%A8+%E8%B3%87%E9%87%91%E6%B1%BA%E6%B8%88%E3%81%AB%E9%96%A2%E3%81%99%E3%82%8B%E6%B3%95%E5%BE%8B+%E3%83%96%E3%83%AD%E3%83%83%E3%82%AF%E3%83%81%E3%82%A7%E3%83%BC%E3%83%B3%27 (Ｌast browse date: 12/07/2017) [4]Article 63-2 of the Payment Service Act provides the registration with the Prime Minister; however, in practical operation, the operators shall apply for registration with the local financial bureau. [5]Financial System Council, The Working Group on Payments and Transaction Banking of the Financial System Council, P29. [6]In the Payment Services Act of Japan, it is specified that the remittance business engaged by a non-banking provider was officially named as “Funds Transfer Service”, in which business contents aim at the third payment works. Financial Research Development Funds Management Committee, “Study of the industrial development and management between international non-financial institution payment services”, written by Kuo Chen-Chung and Hsu Shih-Chin, pp60~61(2015).
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