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Research on Policies for building a digital nation in Recent Years (2016-2017)

Research on Policies for building a digital nation in Recent Years (2016-2017)

　　Recent years, the government has already made some proactive actions, including some policies and initiatives, to enable development in the digital economy and fulfill the vision of Digital Nation. Those actions are as follows:

1. CREATING THE “FOOD CLOUD” FOR FOOD SAFETY CONTROLS

　　Government agencies have joined forces to create an integrated “food cloud” application that quickly alerts authorities to food safety risks and allows for faster tracing of products and ingredients. The effort to create the cloud was spearheaded by the Executive Yuan’s Office of Food Safety under the leadership of Vice Premier Chang San-cheng on January 12, 2016.

　　The “food cloud” application links five core systems (registration, tracing, reporting, testing, and inspection) from the Ministry of Health and Welfare (MOHW) with eight systems from the Ministry of Finance, Ministry of Economic Affairs, Ministry of Education (MOE), Council of Agriculture and Environmental Protection Administration.

　　The application gathers shares and analyzes information in a methodical and systematic manner by employing big data technology. To ensure the data can flow properly across different agencies, the Office of Food Safety came up with several products not intended for human consumption and had the MOHW simulate the flow of those products under import, sale and supply chain distribution scenarios. The interministerial interface successfully analyzed the data and generated lists of food risks to help investigators focus on suspicious companies.

　　Based on these simulation results, the MOHW on September 2, 2015, established a food and drug intelligence center as a mechanism for managing food safety risks and crises on the national level. The technologies for big data management and mega data analysis will enable authorities to better manage food sources and protect consumer health.

　　In addition, food cloud systems established by individual government agencies are producing early results. The MOE, for instance, rolled out a school food ingredient registration platform in 2014, and by 2015 had implemented the system across 22 countries and cities at 6,000 schools supplying lunches for 4.5 million students. This platform, which made school lunch ingredients completely transparent, received the 2015 eAsia Award as international recognition for the use of information technology in ensuring food safety.

2. REVISING DIGITAL CONVERGENCE ACTS

　　On 2016 May 5th, the Executive Yuan Council approved the National Communications Commission's (NCC) proposals, drafts of “Broadcasting Terrestrial and Channel Service Suppliers Administration Act”, “Multichannel Cable Platform Service Administration Act”, “Telecommunications Service Suppliers Act”, “Telecommunications Infrastructure and Resources Administration Act”, “Electronic Communications Act”, also the five digital convergence laws. They will be sent to the Legislature for deliberation. But in the end, this version of five digital convergence bills did not pass by the Legislature.

　　However, later on, November 16, 2017, The Executive Yuan approved the new drafts of “Digital Communication Act” and the “Telecommunication Service Management Act”.
　　The “Digital Communication Act” and the “Telecommunication Service Management Act” focused summaries as follows:

　　1. The digital communication bill

　　A. Public consultation and participation.

　　B. The digital communication service provider ought to use internet resource reasonability and reveal network traffic control measures.

　　C. The digital communication service provider ought to reveal business information and Terms of Service.

　　D. The responsibility of the digital communication service provider.

　　2. The telecommunication service management bill

　　A. The telecommunication service management bill change to use registration system.

　　B. The general obligation of telecommunications to provide telecommunication service and the special obligation of Specific telecommunications.

　　C. Investment, giving, receiving and merging rules of the telecommunication service.

　　Telecommunications are optimism of relaxing rules and regulations, and wish it would infuse new life and energy into the market. Premier Lai instructed the National Communications Commission and other agencies to elucidate the contents of the two communication bills to all sectors of society, and communicate closely with lawmakers of all parties to build support for a quick passage of the bills.

3. FOCUSING ON ICT SECURITY TO BUILD DIGITAL COUNTRIES

　　Ｔhe development of ICT has brought convenience to life but often accompanied by the threat of illegal use, especially the crimes with the use of new technologies such as Internet techniques and has gradually become social security worries. Minor impacts may cause inconvenience to life while major impacts may lead to a breakdown of government functions and effects on national security. To enhance the capability of national security protection and to avoid the gap of national security, the Executive Yuan on August 1st 2016 has upgraded the Office of Information and Communication Security into the Agency of Information and Communication Security, a strategic center of R.O.C security work, integrating the mechanism of the whole government governance of information security, through specific responsibility, professionalism, designated persons and permanent organization to establish the security system, together with the relevant provisions of the law so that the country's information and communication security protection mechanism will become more complete. The efforts to the direction could be divided into three parts:

　　First, strengthening the cooperation of government and private sectors of information security: In a sound basis of legal system, the government plans to strengthen the government and some private sectors’ information security protection abilities ,continue to study and modify the relevant amendments to the relevant provisions, strengthen public-private collaborative mechanism, deepen the training of human resources and enhance the protection of key information infrastructure of our country.

　　Second, improving the information and communication security professional capability: information and communication security business is divided into policy and technical aspects. While the government takes the responsibility for policy planning and coordination, the technical service lies in an outsourcing way. Based on a sound legal system, the government will establish institutionalized and long-term operation modes and plan appropriate organizational structures through the discussion of experts and scholars from all walks of life.

　　Third, formulating Information and Communication Safety Management Act and planning of the Fifth National Development Program for Information and Communication Security: The government is now actively promoting the Information and Communication Safety Management Act as the cornerstone for the development of the national digital security and information security industry. The main content of the Act provides that the applicable authorities should set up security protection plan at the core of risk management and the procedures of notification and contingency measures, and accept the relevant administrative check. Besides the vision of the Fifth National Development Program for Information and Communication Security which the government is planning now is to build a safe and reliable digital economy and establish a safe information and communication environment by completing the legal system of information and communication security environment, constructing joint defense system of the national Information and Communication security, pushing up the self-energy of the industries of information security and nurture high-quality human resources for elite talents for information security.

4. THE DIGITAL NATION AND INNOVATIVE ECONOMIC DEVELOPMENT PLAN

　　The Digital Nation and Innovative Economic Development Plan (2017-2025) known as “DIGI+” plan, approved by the Executive Yuan on November 24, 2016. The plan wants to grow nation’s digital economy to NT $ 6.5 trillion (US$205.9 billion), improve the digital lifestyle services penetration rate to 80 %, increase broadband connections to 2 Gbps, ensure citizens’ basic rights to have 25 Mbps broadband access, and put our nation among the top 10 information technology nations worldwide by 2025.

　　The plan contains several important development strategies: DIGI+ Infrastructure: Build infrastructure conducive to digital innovation. DIGI+ Talent: Cultivate digital innovation talent. DIGI+ Industry: Support cross-industry transformation through digital innovation. DIGI+ Rights: Make R.O.C. an advanced society that respects digital rights and supports open online communities. DIGI+ Cities: Build smart cities through cooperation among central and local governments and the industrial, academic and research sectors. DIGI+ Globalization: Boost nation’s standing in the global digital service economy.

　　The plan also highlights few efforts:

　　First is to enrich “soft” factors and workforce to create an innovative environment for digital development. To construct this environment, the government will construct an innovation-friendly legal framework, cultivate interdisciplinary digital talent, strengthen research and develop advanced digital technologies.

　　Second is to enhance digital economy development. The government will incentivize innovative applications and optimize the environment for digital commerce.

　　Third, the government will develop an open application programming interface for government data and create demand-oriented, one-stop smart government cloud services.

　　Fourth, the government will ensure broadband access for the disadvantaged and citizens of the rural area, implement the participatory process, enhance different kinds of international cooperation, and construct a comprehensive humanitarian legal framework with digital development.

　　Five is to build a sustainable smart country. The government will use smart network technology to build a better living environment, promote smart urban and rural area connective governance and construction and use on-site research and industries innovation ecosystem to assist local government plan and promote construction of the smart country.

　　In order to achieve the overall effectiveness of the DIGI + program, interdisciplinary, inter-ministerial, inter-departmental and inter-departmental efforts will be required to collaborate with the newly launched Digital National Innovation Economy (DIGI +) Promotion Team.

5. ARTIFICIAL INTELLIGENCE SCIENTIFIC RESEARCH STRATEGY

　　The Ministry of Science and Technology (MOST) reported strategy plan for artificial intelligence (AI) scientific research at Cabinet meeting on August 24, 2017. Artificial intelligence is a powerful and inevitable trend, and it will be critical to R.O.C.’s competitiveness for the next 30 years.

　　The ministry will devote NT$16 billion over the next five years to building an AI innovation ecosystem in R.O.C. According to MOST, the plan will promote five strategies:

　　1. Creating an AI platform to provide R&D services

　　MOST will devote NT$5 billion over the next four years to build a platform, integrating the resources, providing a shared high-speed computing environment and nurturing emerging AI industries and applications.

　　2. Establishing an AI innovative research center

　　MOST will four artificial intelligence innovation research centers across R.O.C. as part of government efforts to enhance the nation’s competitiveness in AI technology. The centers will support the development of new AI in the realms of financial technology, smart manufacturing, smart healthcare and intelligent transportation systems.

　　3. Setting up AI robot maker spaces

　　An NT$2 billion, four-year project assisting industry to develop the hardware-software integration of robots and innovative applications was announced by the Ministry of Science and Technology.

　　4. Subsidizing a semiconductor “moonshot” program to explore ambitious and groundbreaking smart technologies

　　This program will invest NT$4 billion from 2018 through 2021 into developing semiconductors and chip systems for edge devices as well as integrating the academic sector’s R&D capabilities and resources. the project encompasses cognitive computing and AI processor chips; next-generation memory designs; process technologies and materials for key components of sensing devices; unmanned vehicles, AR and VR; IoT systems and security.

　　5. Organizing Formosa Grand Challenge competitions 

　　The program is held in competitions to engage young people in the development of AI applications.

　　The government hopes to extend R.O.C.’s industrial advantages and bolster the country’s international competitiveness, giving R.O.C. the confidence to usher in the era of AI applications. All of these efforts will weave people, technologies, facilities, and businesses into a broader AI innovation ecosystem.

6. INTELLIGENT TRANSPORTATION SYSTEM PLANS

　　Ministry of Transportation and Communications (MOTC) launched plans to develop intelligent transportation systems at March 7th in 2017. MOTC integrates transportation and information and communications technology through these plans to improve the convenience and reduce the congestion of the transportation. These plans combine traffic management systems for highways, freeways and urban roads, a multi-lane free-flow electronic toll collection system, bus information system that provides timely integrated traffic information services, and public transportation fare card readers to reduce transport accidence losses, inconvenience of rural area, congestion of main traffic arteries and improve accessibility of public transportation.

　　There are six plans are included: 1. Intelligent transportation safety plan; 2. Relieve congestion on major traffic arteries; 3. Make transportation more convenient in Eastern Taiwan and remote areas; 4. Integrate and share transportation resources; 5. Develop “internet-of-vehicles” technology applications; and 6. Fundamental R&D for smart transportation technology.

　　These plans promote research and development of smart vehicles and safety intersections, develop timely bus and traffic information tracking system, build a safe system of shared, safe and green-energy smart system, and subsidize the large vehicles to install the vision enhancement cameras to improve the safety of transportation. These plans also use eTag readers, vehicle sensors and info communication technologies to gather the traffic information and provide timely traffic guidance, reduce the congestion of the traffic flow. These plans try to use demand-responsive transit system with some measures such as combine public transportation and taxi, to improve the flexibility of the public traffic service and help the basic transportation needs of residents in eastern Taiwan and rural areas to be fulfilled. A mobile transport service interface and a platform that integrating booking and payment processes are also expected to be established to provide door-to-door transportation services and to integrate transportation resources. And develop demonstration projects of speed coordination of passenger coach fleets, vehicle-road interaction technology, and self-driving car to investigate and verify the issues in technological, operational, industrial, legal environments of internet-of-vehicles applications in our country. Last but not least, research and development on signal control systems that can be used in both two and four-wheeled vehicles, and deploy an internet-of-vehicles prototype platform and develop drones traffic applications.

　　These plans are expected to reduce 25% traffic congestion, 20% of motor vehicle incidence, leverage 10% using rate of public transportation, raise 20% public transportation service accessibility of rural area and create NT$30 billion production value. After accomplishing these targets, the government can establish a comprehensive transportation system and guide industry development of relating technology areas.

　　Through the aforementioned initiatives, programs, and plans, the government wants to construct the robust legal framework and policy environment for digital innovation development, and facilitate the quality of citizens in our society.

※Research on Policies for building a digital nation in Recent Years (2016-2017),STLI, https://stli.iii.org.tw/en/article-detail.aspx?no=105&tp=2&i=168&d=7938 (Date:2026/01/23)
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The use of automated facial recognition technology and supervision mechanism in UK

The use of automated facial recognition technology and supervision mechanism in UK I. Introduction 　　Automatic facial recognition (AFR) technology has developed rapidly in recent years, and it can identify target people in a short time. The UK Home Office announced the "Biometrics Strategy" on June 28, 2018, saying that AFR technology will be introduced in the law enforcement, and the Home Office will also actively cooperate with other agencies to establish a new oversight and advisory board in order to maintain public trust. AFR technology can improve law enforcement work, but its use will increase the risk of intruding into individual liberty and privacy. 　　This article focuses on the application of AFR technology proposed by the UK Home Office. The first part of this article describes the use of AFR technology by the police. The second part focuses on the supervision mechanism proposed by the Home Office in the Biometrics Strategy. However, because the use of AFR technology is still controversial, this article will sort out the key issues of follow-up development through the opinions of the public and private sectors. The overview of the discussion of AFR technology used by police agencies would be helpful for further policy formulation. II. Overview of the strategy of AFR technology used by the UK police 　　According to the Home Office’s Biometrics Strategy, the AFR technology will be used in law enforcement, passports and immigration and national security to protect the public and make these public services more efficient[1]. Since 2017 the UK police have worked with tech companies in testing the AFR technology, at public events like Notting Hill Carnival or big football matches[2]. 　　In practice, AFR technology is deployed with mobile or fixed camera systems. When a face image is captured through the camera, it is passed to the recognition software for identification in real time. Then, the AFR system will process if there is a ‘match’ and the alarm would solicit an operator’s attention to verify the match and execute the appropriate action[3]. For example, South Wales Police have used AFR system to compare images of people in crowds attending events with pre-determined watch lists of suspected mobile phone thieves[4]. In the future, the police may also compare potential suspects against images from closed-circuit television cameras (CCTV) or mobile phone footage for evidential and investigatory purposes[5]. 　　The AFR system may use as tools of crime prevention, more than as a form of crime detection[6]. However, the uses of AFR technology are seen as dangerous and intrusive by the UK public[7]. For one thing, it could cause serious harm to democracy and human rights if the police agency misuses AFR technology. For another, it could have a chilling effect on civil society and people may keep self-censoring lawful behavior under constant surveillance[8]. III. The supervision mechanism of AFR technology 　　To maintaining public trust, there must be a supervision mechanism to oversight the use of AFR technology in law enforcement. The UK Home Office indicates that the use of AFR technology is governed by a number of codes of practice including Police and Criminal Evidence Act 1984, Surveillance Camera Code of Practice and the Information Commissioner’s Office (ICO)’s Code of Practice for surveillance cameras[9]. (I) Police and Criminal Evidence Act 1984 　　The Police and Criminal Evidence Act (PACE) 1984 lays down police powers to obtain and use biometric data, such as collecting DNA and fingerprints from people arrested for a recordable offence. The PACE allows law enforcement agencies proceeding identification to find out people related to crime for criminal and national security purposes. Therefore, for the investigation, detection and prevention tasks related to crime and terrorist activities, the police can collect the facial image of the suspect, which can also be interpreted as the scope of authorization of the  PACE. (II) Surveillance Camera Code of Practice 　　The use of CCTV in public places has interfered with the rights of the people, so the Protection of Freedoms Act 2012 requires the establishment of an independent Surveillance Camera Commissioner (SCC) for supervision. The Surveillance Camera Code of Practice  proposed by the SCC sets out 12 principles for guiding the operation and use of surveillance camera systems. The 12 guiding principles are as follows[10]: A. Use of a surveillance camera system must always be for a specified purpose which is in pursuit of a legitimate aim and necessary to meet an identified pressing need. B. The use of a surveillance camera system must take into account its effect on individuals and their privacy, with regular reviews to ensure its use remains justified. C. There must be as much transparency in the use of a surveillance camera system as possible, including a published contact point for access to information and complaints. D. There must be clear responsibility and accountability for all surveillance camera system activities including images and information collected, held and used. E. Clear rules, policies and procedures must be in place before a surveillance camera system is used, and these must be communicated to all who need to comply with them. F. No more images and information should be stored than that which is strictly required for the stated purpose of a surveillance camera system, and such images and information should be deleted once their purposes have been discharged. G. Access to retained images and information should be restricted and there must be clearly defined rules on who can gain access and for what purpose such access is granted; the disclosure of images and information should only take place when it is necessary for such a purpose or for law enforcement purposes. H. Surveillance camera system operators should consider any approved operational, technical and competency standards relevant to a system and its purpose and work to meet and maintain those standards. I. Surveillance camera system images and information should be subject to appropriate security measures to safeguard against unauthorised access and use. J. There should be effective review and audit mechanisms to ensure legal requirements, policies and standards are complied with in practice, and regular reports should be published. K. When the use of a surveillance camera system is in pursuit of a legitimate aim, and there is a pressing need for its use, it should then be used in the most effective way to support public safety and law enforcement with the aim of processing images and information of evidential value. L. Any information used to support a surveillance camera system which compares against a reference database for matching purposes should be accurate and kept up to date. (III) ICO’s Code of Practice for surveillance cameras 　　It must need to pay attention to the personal data and privacy protection during the use of surveillance camera systems and AFR technology. The ICO issued its Code of Practice for surveillance cameras under the Data Protection Act 1998 to explain the legal requirements operators of surveillance cameras. The key points of ICO’s Code of Practice for surveillance cameras are summarized as follows[11]: A. The use time of the surveillance camera systems should be carefully evaluated and adjusted. It is recommended to regularly evaluate whether it is necessary and proportionate to continue using it. B. A police force should ensure an effective administration of surveillance camera systems deciding who has responsibility for the control of personal information, what is to be recorded, how the information should be used and to whom it may be disclosed. C. Recorded material should be stored in a safe way to ensure that personal information can be used effectively for its intended purpose. In addition, the information may be considered to be encrypted if necessary. D. Disclosure of information from surveillance systems must be controlled and consistent with the purposes for which the system was established. E. Individuals whose information is recoded have a right to be provided with that information or view that information. The ICO recommends that information must be provided promptly and within no longer than 40 calendar days of receiving a request. F. The minimum and maximum retention periods of recoded material is not prescribed in the Data Protection Act 1998, but it should not be kept for longer than is necessary and should be the shortest period necessary to serve the purposes for which the system was established. (IV) A new oversight and advisory board 　　In addition to the aforementioned regulations and guidance, the UK Home Office mentioned that it will work closely with related authorities, including ICO, SCC, Biometrics Commissioner (BC), and Forensic Science Regulator (FSR) to establish a new oversight and advisory board to coordinate consideration of law enforcement’s use of facial images and facial recognition systems[12]. 　　To sum up, it is estimated that the use of AFR technology by law enforcement has been abided by existing regulations and guidance. Firstly, surveillance camera systems must be used on the purposes for which the system was established. Secondly, clear responsibility and accountability mechanisms should be ensured. Thirdly, individuals whose information is recoded have the right to request access to relevant information. In the future, the new oversight and advisory board will be asked to consider issues relating to law enforcement’s use of AFR technology with greater transparency. IV. Follow-up key issues for the use of AFR technology 　　Regarding to the UK Home Office’s Biometrics Strategy, members of independent agencies such as ICO, BC, SCC, as well as civil society, believe that there are still many deficiencies, the relevant discussions are summarized as follows: (I) The necessity of using AFR technology 　　Elizabeth Denham, ICO Commissioner, called for looking at the use of AFR technology carefully, because AFR is an intrusive technology and can increase the risk of intruding into our privacy. Therefore, for the use of AFR technology to be legal, the UK police must have clear evidence to demonstrate that the use of AFR technology in public space is effective in resolving the problem that it aims to address[13]. 　　The Home Office has pledged to undertake Data Protection Impact Assessments (DPIAs) before introducing AFR technology, including the purpose and legal basis, the framework applies to the organization using the biometrics, the necessity and proportionality and so on. (II)The limitations of using facial image data 　　The UK police can collect, process and use personal data based on the need for crime prevention, investigation and prosecution. In order to secure the use of biometric information, the BC was established under the Protection of Freedoms Act 2012. The mission of the BC is to regulate the use of biometric information, provide protection from disproportionate enforcement action, and limit the application of surveillance and counter-terrorism powers. 　　However, the BC’s powers do not presently extend to other forms of biometric information other than DNA or fingerprints[14]. The BC has expressed concern that while the use of biometric data may well be in the public interest for law enforcement purposes and to support other government functions, the public benefit must be balanced against loss of privacy. Hence, legislation should be carried to decide that crucial question, instead of depending on the BC’s case feedback[15]. 　　Because biometric data is especially sensitive and most intrusive of individual privacy, it seems that a governance framework should be required and will make decisions of the use of facial images by the police. (III) Database management and transparency 　　For the application of AFR technology, the scope of biometric database is a dispute issue in the UK. It is worth mentioning that the British people feel distrust of the criminal database held by the police. When someone is arrested and detained by the police, the police will take photos of the suspect’s face. However, unlike fingerprints and DNA, even if the person is not sued, their facial images are not automatically deleted from the police biometric database[16]. 　　South Wales Police have used AFR technology to compare facial images of people in crowds attending major public events with pre-determined watch lists of suspected mobile phone thieves in the AFR field test. Although the watch lists are created for time-limited and specific purposes, the inclusion of suspects who could possibly be innocent people still causes public panic. 　　Elizabeth Denham warned that there should be a transparency system about retaining facial images of those arrested but not charged for certain offences[17]. Therefore, in the future the UK Home Office may need to establish a transparent system of AFR biometric database and related supervision mechanism. (IV) Accuracy and identification errors 　　In addition to worrying about infringing personal privacy, the low accuracy of AFR technology is another reason many people oppose the use of AFR technology by police agencies. Silkie Carlo, director of Big Brother Watch, said the police must immediately stop using the AFR technology and avoid mistaking thousands of innocent citizens as criminals; Paul Wiles, Biometrics Commissioner, also called for legislation to manage AFR technology because of its accuracy is too low and the use of AFR technology should be tested and passed external peer review[18]. 　　In the Home Office’s Biometric Strategy, the scientific quality standards for AFR technology will be established jointly with the FSR, an independent agency under the Home Office. In other words, the Home Office plans to extend the existing forensics science regime to regulate AFR technology. 　　Therefore, the FSR has worked with the SCC to develop standards relevant to digital forensics. The UK government has not yet seen specific standards for regulating the accuracy of AFR technology at the present stage. V. Conclusion 　　From the discussion of the public and private sectors in the UK, we can summarize some rules for the use of AFR technology. Firstly, before the application of AFR technology, it is necessary to complete the pre-assessment to ensure the benefits to the whole society. Secondly, there is the possibility of identifying errors in AFR technology. Therefore, in order to maintain the confidence and trust of the people, the relevant scientific standards should be set up first to test the system accuracy. Thirdly, the AFR system should be regarded as an assisting tool for police enforcement in the initial stage. In other words, the information analyzed by the AFR system should still be judged by law enforcement officials, and the police officers should take the responsibilities. 　　In order to balance the protection of public interest and basic human rights, the use of biometric data in the AFR technology should be regulated by a special law other than the regulations of surveillance camera and data protection. The scope of the identification database is also a key point, and it may need legislators’ approval to collect and store the facial image data of innocent people. Last but not least, the use of the AFR system should be transparent and the victims of human rights violations can seek appeal. [1] UK Home Office, Biometrics Strategy, Jun. 28, 2018, https://www.gov.uk/government/publications/home-office-biometrics-strategy (last visited Aug. 09, 2018), at 7. [2] Big Brother Watch, FACE OFF CAMPAIGN: STOP THE MET POLICE USING AUTHORITARIAN FACIAL RECOGNITION CAMERAS, https://bigbrotherwatch.org.uk/all-campaigns/face-off-campaign/ (last visited Aug. 16, 2018). [3] Lucas Introna & David Wood, Picturing algorithmic surveillance: the politics of facial recognition systems, Surveillance & Society, 2(2/3), 177-198 (2004). [4] Supra note 1, at 12. [5] Id, at 25. [6] Michael Bromby, Computerised Facial Recognition Systems: The Surrounding Legal Problems (Sep. 2006)(LL.M Dissertation Faculty of Law University of Edinburgh), http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.197.7339&rep=rep1&type=pdf , at 3. [7] Owen Bowcott, Police face legal action over use of facial recognition cameras, The Guardian, Jun. 14, 2018, https://www.theguardian.com/technology/2018/jun/14/police-face-legal-action-over-use-of-facial-recognition-cameras (last visited Aug. 09, 2018). [8] Martha Spurrier, Facial recognition is not just useless. In police hands, it is dangerous, The Guardian, May 16, 2018, https://www.theguardian.com/commentisfree/2018/may/16/facial-recognition-useless-police-dangerous-met-inaccurate (last visited Aug. 17, 2018). [9] Supra note 1, at 12. [10] Surveillance Camera Commissioner, Surveillance camera code of practice, Oct. 28, 2014, https://www.gov.uk/government/publications/surveillance-camera-code-of-practice (last visited Aug. 17, 2018). [11] UK Information Commissioner’s Office, In the picture: A data protection code of practice for surveillance cameras and personal information, Jun. 09, 2017, https://ico.org.uk/for-organisations/guide-to-data-protection/encryption/scenarios/cctv/ (last visited Aug. 10, 2018). [12] Supra note 1, at 13. [13] Elizabeth Denham, Blog: facial recognition technology and law enforcement, Information Commissioner's Office, May 14, 2018, https://ico.org.uk/about-the-ico/news-and-events/blog-facial-recognition-technology-and-law-enforcement/ (last visited Aug. 14, 2018). [14] Monique Mann & Marcus Smith, Automated Facial Recognition Technology: Recent Developments and Approaches to Oversight, Automated Facial Recognition Technology, 10(1), 140 (2017). [15] Biometrics Commissioner, Biometrics Commissioner’s response to the Home Office Biometrics Strategy, Jun. 28, 2018, https://www.gov.uk/government/news/biometrics-commissioners-response-to-the-home-office-biometrics-strategy (last visited Aug. 15, 2018). [16] Supra note 2. [17] Supra note 13. [18] Jon Sharman, Metropolitan Police's facial recognition technology 98% inaccurate, figures show, INDEPENDENT, May 13, 2018, https://www.independent.co.uk/news/uk/home-news/met-police-facial-recognition-success-south-wales-trial-home-office-false-positive-a8345036.html (last visited Aug. 09, 2018).

Shifting AI Governance in East Asia: AI Legislative Progress in Japan, South Korea and Taiwan

Shifting AI Governance in East Asia: AI Legislative Progress in Japan, South Korea and Taiwan 2025/09/09 Keywords: artificial intelligence, artificial intelligence regulation I.Introduction The landscape of AI governance in East Asia is changing, with two new AI laws enacted and one on the way. In South Korea, an act titled “the Basic Act on the Development of Artificial Intelligence and the Establishment of Foundation for Trustworthiness“ (“인공지능 발전과 신뢰 기반 조성 등에 관한 기본법”, henceforth referred to as “South Korea’s AI Act” or “SKAIA”)[1]was approved on December 26[2], 2024 and promulgated on January 21, 2025. The AI Basic Act is designed to establish a national AI governance framework and systematically foster the AI industry while preventing potential AI risks.[3]A few months later, Japan’s first law regulating AI was passed by the National Diet on May 28, 2025. The new law is titled "the Act on Promotion of Research and Development, and Utilization of AI-related Technology" (“人工知能関連技術の研究開発及び活用の推進に関する法律”, henceforth referred to as "Japan's AI Act" or "JAIA")[4], which reflects the strong will of the government to catch up in the global AI race.[5] Elsewhere in the region, Taiwan’s Executive Yuan finally passed its draft AI Basic Act (“人工智慧基本法草案”) on August 28[6] [7], which must now be submitted to the Legislative Yuan for deliberation. The government hopes the new law will lay the foundation for establishing Taiwan as an AI island and a key driving force in global AI development.[8] This article will give a quick overview of the key features of the three new AI regulations to illustrate the new landscape these countries are shaping in AI governance. II.Key features of Japan’s AI Act (JAIA) 1.Purpose and principles of JAIA Given Japan's lagging AI development and rising public concerns, JAIA reflects the government's worry about falling behind global peers in AI investment and adoption.[9] It is believed that new laws are needed in addition to existing laws and regulations to promote innovation and address risks.[10] Hence JAIA aims to advance the R&D and application of AI through the formulation of basic principles and plans, and the establishment of an "AI Strategic Headquarters".[11] JAIA establishes basic principles for the promotion of the R&D and application of AI-related technologies[12], including enhancing industry R&D capabilities and competitiveness, systematically promoting AI collaboration from research to application with transparency, and enabling Japan to shape global norms through international cooperation.[13] 2.Industry Development and Promotion JAIA requires the government to develop a National AI Basic Plan, in accordance with the basic principles, to promote the R&D and application of AI. The AI Basic Plan should set out fundamental policy guidelines and measures to comprehensively and systemically advance the R&D and application of AI-related technologies, along with other necessary provisions.[14] JAIA also specifies basic measures to be included in the plan, which cover issues of promotion of R&D, expansion and sharing of facilities and data, human resources and education, international engagement in AI norm setting, and domestic guidelines making. In addition, the government should monitor AI technology trends and analyze cases of rights violations from improper AI use to develop countermeasures and provide guidance accordingly.[15] 3.Governance JAIA stipulates that an AI Strategy Headquarters should be established under the Cabinet, composed of all cabinet members and headed by the Prime Minister.[16] The AI Strategic Headquarters is tasked with comprehensively and systematically advancing AI-related technology R&D and application policies, including the formulation, promotion, and implementation of AI Basic Plans and other related initiatives.[17] The Act also empowers the AI Strategy Headquarters to invite stakeholders to provide information, opinions or explanations, and other necessary assistance.[18] 4.Risk managements and rights protection JAIA does not impose direct compliance obligations, but AI companies and research institutions are required to cooperate with government investigations and follow government guidance in cases involving violations of human rights and interests.[19] 5.Implementation of JAIA and Follow-up Work JAIA came into force in May 2025. The Japanese government is required to develop guidelines that align with international standards and launch the Strategic Headquarters for the preparation and implementation of the National AI Basic Plan. III.Key features of the South Korea’s AI Act (SKAIA) 1.Purpose and principles of SKAIA SKAIA is designed to establish a foundation for AI development and trustworthiness, increasing citizens’ rights and interests protection, quality of life, and the country’s competitiveness.[20] It focuses on advancing national AI collaboration to foster a flourishing AI sector and developing legal frameworks to mitigate risks.[21] Accordingly, the Act establishes basic AI development principles: prioritizing safety and reliability to improve quality of life, and ensuring those affected by AI output receive clear, meaningful explanations within reasonable parameters.[22] 2.Industry development and promotion Supporting AI technology and industry development is a key feature of SKAIA. It establishes comprehensive measures covering technology development, industry revitalization, SME support, industrial foundations, talent cultivation, regulatory adaptation, and international cooperation.[23] 3.Governance SKAIA also strengthens the institutional framework for AI governance. The Ministry of Science and ICT (henceforth referred to as “MSIT”) is mandated to execute an AI Master Plan every three years and empowered to investigate violations, require corrective action, and impose fines on non-compliant entities.[24] The National AI Committee is authorized to review and decide on the AI Master Plan and AI-related matters, making it the highest decision-making body for South Korea's AI policies. It is composed of the heads of central administrative agencies and civilian AI experts appointed by the president.[25] SKAIA also establishes the AI Policy Center to support MSIT on AI policy formulation, and the AI Safety Institute for AI safety matters.[26] 4.Risk management and rights protection SKAIA imposes specific obligations on operators of high-impact AI and generative AI systems. All operators must ensure system transparency and safety, while high-impact AI operators face additional responsibilities including conducting fundamental rights impact assessments.[27] High-impact AI systems are defined as AI systems that have a significant impact on or may pose a risk to human life, safety, and fundamental rights and are mainly utilized in critical infrastructure sectors and human rights-sensitive areas, or other areas specified by presidential decree.[28] The procedure for determining whether an AI system qualifies as high-impact AI will be established through subordinate legislation.[29] 5.Implementation of SKAIA and Follow-up Work SKAIA will come into effect on January 1, 2026 and the formulation of subordinate statutes that detail enforcement mechanisms and guidelines should be expedited. However, domestic critics argue that corporate obligation provisions may hinder AI development and advocate for postponing their implementation.[30] Actually, an amendment to the Act was proposed in April 2025, seeking such a postponement along with a three-year grace period.[31] IV. Key features of Taiwan’s draft AI Basic Act 1.Purpose and Principles of the draft AI Basic Act[32] Taiwan adopts a relatively conservative approach to AI policy and measures to boost industrial development have long occupied the agenda of AI governance. Given that AI is a crucial technology for national development, the draft AI Basic Act (henceforth referred to as "the draft Act") seeks to ensure that AI technology develops vigorously in a human-centered approach, encourage innovation while considering human rights, and safeguard Taiwan’s national sovereignty and cultural values.[33] Hence, the draft Act establishes seven guiding principles in line with international norms, which are sustainability, human autonomy, privacy protection and data governance, security, transparency and explainability, fairness and accountability.[34] 2.Industry Development and Promotion It is the government’s responsibility to promote the R&D and application of AI and construct the infrastructure needed.[35] In order to facilitate AI innovations, competent authorities may provide a controlled environment for testing and validating AI innovation products and services before they are released to the market or put into use.[36] Considering the wide scope of AI application and development, the government is encouraged to collaborate with the private sector, including through public-private partnerships, and should promote international cooperation on AI matters.[37] The government should also continue to comprehensively promote AI education at all levels to enhance the public's AI literacy.[38] Data is crucial for AI development, so the draft Act mandates the government to establish mechanisms to enhance data availability, and measures to facilitate AI outputs that maintain the country's multicultural values, and protect intellectual property rights.[39] 3.Risk Management and Rights Protection (1) Risk Management The draft Act includes several provisions addressing AI risks. The government should take steps to prevent AI from being used for illegal purposes. For example, Ministry of Digital Affairs (MODA) and other relevant agencies may provide or recommend tools or methods for AI evaluation and verification to avoid misuse of AI.[40] Secondly, MODA is mandated to foster an AI risk classification framework, based on which sectoral competent authorities should establish risk-based tiered management standards.[41] Thirdly, the government may, through binding regulations or non-binding administrative guidance, promote safety standards, verification, transparent and explainable traceability, or accountability mechanisms to enhance the trustworthiness of AI development and application.[42] Lastly, the government should clarify the ownership and conditions of liability for high-risk AI applications and establish relevant mechanisms for relief, compensation or insurance to protect affected parties.[43] However, AI application responsibility norms would not apply to pre-release activities in order to support technological innovation.[44] [45] (2) Rights Protection The draft Act concerns not only the privacy rights of individuals but also labor rights. The government should ensure the protection of personal data used throughout the AI lifecycle on the one hand[46] , and also protect workers' rights and provide necessary assistance to help them adapt to technological changes, especially those who have lost their jobs due to AI use.[47] 4.Governance and Implementation Despite the heated debate regarding the designation of a dedicated AI regulatory authority in the country, the Executive Yuan decided against establishing such an authority, given AI's cross-ministerial nature. Relevant competent authorities will be responsible for formulating implementing regulations and guidelines and the Executive Yuan will continue to guide relevant agencies and departments at all levels through the existing Digital Legal Coordination Meeting to facilitate the development of AI.[48] V.Analysis and conclusion Japan, South Korea and Taiwan all seek to maintain the countries' momentum in promoting AI development through AI legislation. The three parties all emphasize trustworthy AI, though they actually place greater emphasis on AI development. They share considerable common ground in the policies to foster AI industry development, such as promoting AI R&D and application and supporting infrastructure-building, and diverge in their approaches to addressing potential AI-related risks and governance structure. Japan adopts a ‘light touch’ regulatory approach to AI regulation, maintaining coherent policy coordination that responds to domestic imperatives and global trends without imposing regulatory burdens on industries.[49] The country favors a soft approach with governmental guidance. In contrast, South Korea incorporates regulatory provisions specifically targeting high-impact AI systems in its AI Basic Act, seeking to balance between enhancing national competitiveness through AI and mitigating potential risks stemming from AI misuse, though this approach actually faces some domestic opposition currently. Taiwan adopts an approach similar to Japan's. The draft AI Basic Act avoids imposing regulatory obligations, and the government will prioritize AI verification and evaluation mechanisms to ensure trustworthy AI development. Regarding governance approaches, both Japan and South Korea seek to strengthen governmental AI governance functions through legislation, with Japan establishing an AI Strategic Headquarters and South Korea creating an AI Committee, both operating under their respective Cabinets. In contrast, Taiwan's draft AI Basic Act does not address governance structural matters. Given the profound societal transformations that AI technology may bring, all three East Asian countries recognize the importance of sustained AI advancement while acknowledging the critical need to ensure AI safety and trustworthiness to protect human rights. In an era of intense global AI competition, it seems to be the best policy for governments to carefully design AI policies that strike a balance between fostering innovation and safeguarding human rights. This cautious approach is essential as significant challenges remain and AI risks demand comprehensive solutions. Reference: [1] 인공지능 발전과 신뢰 기반 조성 등에 관한 기본법（법률 제20676호, 2025. 1. 21, 제정），법제처 국가법령정보센터，https://www.law.go.kr/%EB%B2%95%EB%A0%B9/%EC%9D%B8%EA%B3%B5%EC%A7%80%EB%8A%A5%20%EB%B0% 9C%EC%A0%84%EA%B3%BC%20%EC%8B%A0%EB%A2%B0%20%EA%B8%B0%EB%B0%98%20%EC%A1%B0%EC% 84%B1%20%EB%93%B1%EC%97%90%20%EA%B4%80%ED%95%9C%20%EA%B8%B0%EB%B3%B8%EB%B2%95/(206 76,20250121) （最後瀏覽日：2025/09/11）。 [2] A New Chapter in the Age of AI: Basic Act on AI Passed at the National Assembly‘s Plenary Session, Ministry of Science and ICT, https://www.msit.go.kr/eng/bbs/view.do?sCode=eng&mId=4&mPid=2&pageIndex=&bbsSeqNo=42&nttSeqNo=1071&searchOpt=ALL&searchTxt= (last visited Sept. 11, 2025). [3] A New Chapter in the Age of AI: Basic Act on AI Passed at the National Assembly‘s Plenary Session, Ministry of Science and ICT, https://www.msit.go.kr/eng/bbs/view.do?sCode=eng&mId=4&mPid=2&pageIndex=&bbsSeqNo=42&nttSeqNo=1071&searchOpt=ALL&searchTxt= (last visited Sept. 11, 2025). [4] 人工知能関連技術の研究開発及び活用の推進に関する法律（令和7年法律第53号），e-Gov法令検索，https://laws.e-gov.go.jp/law/507AC0000000053（最後瀏覽日：2025/09/11）。 [5] CABINET OFFICE, GOVERNMENT OF JAPAN, Outline of the Act on Promotion of Research and Development, and Utilization of AI-related Technology (AI Act), https://www8.cao.go.jp/cstp/ai/ai_hou_gaiyou_en.pdf (last visited Sept. 11, 2025). [6] 〈政院通過「人工智慧基本法」草案 建構AI發展與應用良善環境 打造臺灣成為AI人工智慧島〉，行政院，https://www.ey.gov.tw/Page/9277F759E41CCD91/5d673d1e-f418-47dc-ab35-a06600f77f07（最後瀏覽日：2025/09/09）。 [7] There are other AI bills brought up by legislators in the Legislative Yuan. The purpose of this article is to analyze the AI governance priorities of the governments of Japan, South Korea, and Taiwan; therefore, other AI bills proposed by legislators are not included in the discussion. [8] 蘇文彬，〈行政院通過AI基本法草案，將不設立AI專責機關〉，iThome，2025/08/28，https://www.ithome.com.tw/news/170874 (最後瀏覽日：2025/09/09)。 [9] Japan’s AI Bill Advances Toward Enactment, Connect on Tech (May 27, 2025), https://connectontech.bakermckenzie.com/japans-ai-bill-advances-toward-enactment/ (last visited Sept. 9, 2025). [10] 松尾剛行，〈【2025年施行】AI新法とは？AIの研究開発・利活用を推進する法律を分かりやすく解説！〉，Keiyaku-Watch，https://keiyaku-watch.jp/media/hourei/2025-ai-law/（最後瀏覽日：2025/09/11）。 [11] 人工知能関連技術の研究開発及び活用の推進に関する法律（令和7年法律第53号）第1条。 [12] 人工知能関連技術の研究開発及び活用の推進に関する法律（令和7年法律第53号）第3条。 [13] Japan Enacts AI Promotion Act: Overview and Implications for Businesses, Zelo Law Square (May, 2025), https://zelojapan.com/en/lawsquare/56899 (last visited Sept. 9, 2025). [14] 人工知能関連技術の研究開発及び活用の推進に関する法律（令和7年法律第53号）第18条。 [15] 人工知能関連技術の研究開発及び活用の推進に関する法律（令和7年法律第53号）第11-17条。 [16] 人工知能関連技術の研究開発及び活用の推進に関する法律（令和7年法律第53号）第19、21-24条。 [17] 人工知能関連技術の研究開発及び活用の推進に関する法律（令和7年法律第53号）第20条。 [18] 人工知能関連技術の研究開発及び活用の推進に関する法律（令和7年法律第53号）第25条。 [19] 人工知能関連技術の研究開発及び活用の推進に関する法律（令和7年法律第53号）第16条。 [20] 인공지능 발전과 신뢰 기반 조성 등에 관한 기본법，제1조。 [21] The Korean AI Basic Act: Asia’s First Comprehensive Framework on AI, Lexology (Mar. 17, 2025), https://www.lexology.com/library/detail.aspx?g=f91ff0fb-94ed-4aa9-b667-65d6206a7227 (last visited Sept. 9, 2025). [22] 인공지능 발전과 신뢰 기반 조성 등에 관한 기본법，제3조。 [23] 인공지능 발전과 신뢰 기반 조성 등에 관한 기본법，제13-26조。 [24] 인공지능 발전과 신뢰 기반 조성 등에 관한 기본법，제40조。 [25] 인공지능 발전과 신뢰 기반 조성 등에 관한 기본법，제7조。 [26] 인공지능 발전과 신뢰 기반 조성 등에 관한 기본법，제6-12조。 [27] 인공지능 발전과 신뢰 기반 조성 등에 관한 기본법，제31-32조。 [28] 인공지능 발전과 신뢰 기반 조성 등에 관한 기본법，제4조。 [29] 인공지능 발전과 신뢰 기반 조성 등에 관한 기본법，제33조。 [30] Seungmin (Helen) Lee, South Korea’s Evolving AI Regulations, Stimson (June 12, 2025), https://www.stimson.org/2025/south-koreas-evolving-ai-regulations/ (last visited Sept. 9, 2025). [31] 〈인공지능 발전과 신뢰 기반 조성 등에 관한 기본법 일부개정법률안〉，대한민국국회，https://likms.assembly.go.kr/bill/bi/billDetailPage.do?billId=PRC_N2M5K0S3R2R0Q1O3X5X1W1U1T7P3Q6&currMenuNo=2600044（最後瀏覽日：2025/09/09）。 [32] 〈政院通過「人工智慧基本法」草案 建構AI發展與應用良善環境 打造臺灣成為AI人工智慧島〉，行政院，https://www.ey.gov.tw/Page/9277F759E41CCD91/5d673d1e-f418-47dc-ab35-a06600f77f07（最後瀏覽日：2025/09/09）。 [33] 人工智慧基本法草案第1條。 [34] 人工智慧基本法草案第3條。 [35] 人工智慧基本法草案第4條。 [36] 人工智慧基本法草案第5條。 [37] 人工智慧基本法草案第6條。 [38] 人工智慧基本法草案第7條。 [39] 人工智慧基本法草案第14條。 [40] 人工智慧基本法草案第8條。 [41] 人工智慧基本法草案第9條。 [42] 人工智慧基本法草案第10條。 [43] 人工智慧基本法草案第11條。 [44] 人工智慧基本法草案第11條。 [45] See also: Taiwan Rolls Out Draft Artificial Intelligence Law, OCACNEWS, July 18, 2024, https://ocacnews.net/article/374412 (last visited Sept. 3, 2025). [46] 人工智慧基本法草案第14條。 [47] 人工智慧基本法草案第12條。 [48] 蘇文彬，〈行政院通過AI基本法草案，將不設立AI專責機關〉，iThome，2025/08/28，https://www.ithome.com.tw/news/170874 (最後瀏覽日：2025/09/09)。 [49] Sun Ryung Park, Less Regulation, More Innovation in Japan’s AI Governance, East Asia Forum (May 21, 2025), https://eastasiaforum.org/2025/05/21/less-regulation-more-innovation-in-japans-ai-governance/ (last visited July 4, 2025).

Executive Yuan’s call to action:“Industrial Upgrading and Transformation Action Plan”

I.Introduction Having sustained the negative repercussions following the global financial crisis of 2008, Taiwan’s average economic growth rate decreased from 4.4 percent (during 2000-2007 years) to 3 percent (2008-2012). This phenomenon highlighted the intrinsic problems the Taiwanese economic growth paradigm was facing, seen from the perspective of its development momentum and industrial framework: sluggish growth of the manufacturing industries and the weakening productivity of the service sector. Moreover, the bleak investment climate of the post-2008 era discouraged domestic investors injecting capital into the local economy, rendering a prolonged negative investment growth rate. To further exacerbation, the European Debt Crisis of 2011 – 2012 has impacted to such detriment of private investors and enterprises, that confidence and willingness to invest in the private sector were utterly disfavored. It can be observed that as Taiwan’s industrial core strength is largely concentrated within the the manufacturing sector, the service sector, on the other hand, dwindles. Similarly, the country’s manufacturing efforts have been largely centered upon the Information & Communications Technology (ICT) industry, where the norm of production has been the fulfillment of international orders in components manufacturing and Original Equipment Manufacturing (OEM). Additionally, the raising-up of society’s ecological awareness has further halted the development of the upstream petrochemical and metal industry. Consumer goods manufacturing growth impetus too has been stagnated. Against the backdrop of the aforementioned factors at play as well as the competitive pressure exerted on Taiwan by force of the rapid global and regional economic integration developments, plans to upgrade and transform the existing industrial framework, consequently, arises out as an necessary course of action by the state. Accordingly, Taiwan’s Executive Yuan approved and launched the “Industrial Upgrading and Transformation Action Plan”, on the 13th of October 2014, aiming to reform traditional industries, reinforcing core manufacturing capacities and fostering innovative enterprises, through the implementation of four principal strategies: Upgrading of Product Grade and Value, Establishment of Complete Supply Chain, Setting-up of System Integration Solutions Capability, Acceleration of Growth in the Innovative Sector. II.Current challenges confronting Taiwanese industries 1.Effective apportionment of industrial development funds Despite that Research and Development (R&D) funds takes up 3.02% of Taiwan’s national GDP, there has been a decrease of the country’s investment in industrial and technology research. Currently Taiwan’s research efforts have been directed mostly into manufacturing process improvement, as well as into the high-tech sector, however, traditional and service industries on the other hand are lacking in investments. If research funds for the last decade could be more efficiently distributed, enterprises would be equally encouraged to likewise invest in innovation research. However, it should be noted that Taiwan’s Small and Medium Enterprises (SME) based on their traditional developmental models, do not place research as their top priority. Unlike practices in countries such as Germany and Korea, the research fund input by private enterprises into academic and research institutions is still a relatively unfamiliar exercise in Taiwan. With regards to investment focus, the over-concentration in ICTs should be redirected to accommodate growth possibilities for other industries as well. It has been observed that research investments in the pharmaceutical and electric equipment manufacturing sector has increased, yet in order to not fall into the race-to-the-bottom trap for lowest of costs, enterprises should be continually encouraged to develop high-quality and innovative products and services that would stand out. 2.Human talent and labor force issues Taiwan’s labor force, age 15 to 64, will have reached its peak in 2015, after which will slowly decline. It has been estimated that in 2011 the working population would amount to a meager 55.8%. If by mathematical deduction, based on an annual growth rate of 3%, 4% and 5%, in the year 2020 the labor scarcity would increase from 379,000, 580,000 to 780,000 accordingly. Therefore, it is crucial that productivity must increase, otherwise labor shortage of the future will inevitably stagnate economic growth. Notwithstanding that Taiwan’s demographical changes have lead to a decrease in labor force; the unfavorable working conditions so far has induced skilled professionals to seek employment abroad. The aging society along with decrease in birth rates has further exacerbated the existing cul-de-sac in securing a robust workforce. In 1995 the employment rate under the age of 34 was 46.35%, yet in 2010 it dropped to a daunting 37.6%. 3.Proportional land-use and environmental concerns Taiwan’s Environmental Impact Assessment (EIA) is a time-consuming and often unpredictable process that has substantially deterred investor’s confidence. Additionally, there exists a disproportionate use of land resources in Taiwan, given that demand for its use predominantly stems from the northern and middle region of the country. Should the government choose to balance out the utilization of land resources across Taiwan through labor and tax policies, the situation may be corrected accordingly. III.Industrial Upgrading and Transformation Strategies The current action plan commences its implementation from October 2014 to end of December 2024. The expected industrial development outcomes are as follows: (1) Total output value of the manufacturing sector starting from 2013 at NTD 13.93 trillion is expected to grow in 2020 to NTD 19.46 trillion. (2) Total GDP of the service sector, starting at 3.03 trillion from 2011 is expected to grow in 2020 to 4.75 trillion NTD. 1.Strategy No.1 : Upgrading of product grade and value Given that Taiwan’s manufacturing industry’s rate for added value has been declining year after year, the industry should strive to evolve itself to be more qualitative and value-added oriented, starting from the development of high-end products, including accordingly high-value research efforts in harnessing essential technologies, in the metallic materials, screws and nuts manufacturing sector, aviation, petrochemical, textile and food industries etc. (1) Furtherance of quality research Through the employment of Technology Development Program (TDP) Organizations, Industrial TDP and Academic TDP, theme-based and pro-active Research and Development programs, along with other related secondary assistance measures, the industrial research capability will be expanded. The key is in targeting research in high-end products so that critical technology can be reaped as a result. (2) Facilitating the formation of research alliances with upper-, mid- and downstream enterprises Through the formation of research and development alliances, the localization of material and equipment supply is secured; hence resulting in national autonomy in production capacity. Furthermore, supply chain between industrial component makers and end-product manufacturers are to be conjoined and maintained. National enterprises too are to be pushed forth towards industrial research development, materializing the technical evolution of mid- and downstream industries. (3) Integrative development assistance in Testing and Certification The government will support integrative development in testing and certification, in an effort to boost national competitive advantage thorough benefitting from industrial clusters as well as strengthening value-added logistics services, including collaboration in related value-added services. (4) Establishment of international logistics centre Projection of high-value product and industrial cluster image, through the establishment of an international logistics centre. 2.Strategy No.2 : Establishment of a Complete Supply Chain The establishing a robust and comprehensive supply chain is has at its aim transforming national production capabilities to be sovereign and self-sustaining, without having to resort to intervention of foreign corporations. This is attained through the securing of key materials, components and equipments manufacturing capabilities. This strategy finds its application in the field of machine tool controllers, flat panel display materials, semiconductor devices (3D1C), high-end applications processor AP, solar cell materials, special alloys for the aviation industry, panel equipment, electric vehicle motors, power batteries, bicycle electronic speed controller (ESC), electrical silicon steel, robotics, etc. The main measures listed are as follows: (1) Review of industry gaps After comprehensive review of existing technology gaps depicted by industry, research and academic institutions, government, strategies are to be devised, so that foreign technology can be introduced, such as by way of cooperative ventures, in order to promote domestic autonomous development models. (2) Coordination of Research and Development unions – building-up of autonomous supply chain. Integrating mid- and downstream research and development unions in order to set up a uniform standard in equipment, components and materials in its functional specifications. (3) Application-theme-based research programs Through the release of public notice, industries are invited to submit research proposals focusing on specific areas, so that businesses are aided in developing their own research capabilities in core technologies and products. (4) Promotion of cross-industry cooperation to expand fields of mutual application Continuously expanding field of technical application and facilitating cross-industry cooperation; Taking advantage of international platform to induce cross-border technical collaboration. 3.Strategy No.3 : Setting-up of System Integration Solutions capability Expanding turnkey-factory and turnkey-project system integration capabilities, in order to increase and stimulate export growth; Combination of smart automation systems to strengthen hardware and software integration, hence, boosting system integration solution capacity, allowing stand-alone machinery to evolve into a total solution plant, thus creating additional fields of application and services, effectively expanding the value-chain. These type of transitions are to be seen in the following areas: turnkey-factory and turnkey-project exports, intelligent automated manufacturing, cloud industry, lifestyle (key example: U-Bike in Taipei City) industry, solar factory, wood-working machinery, machine tools, food/paper mills, rubber and plastic machines sector. Specific implementation measure s includes: (1) Listing of national export capability – using domestic market as test bed for future global business opportunities Overall listing of all national system integration capabilities and gaps and further assistance in building domestic “test beds” for system integration projects, so that in the future system-integration solutions can be exported abroad, especially to the emerging economies (including ASEAN, Mainland China) where business opportunities should be fully explored. The current action plan should simultaneously assist these national enterprises in their marketing efforts. (2) Formation of System Integration business alliances and Strengthening of export capability through creation of flagship team Formation of system integration business alliances, through the use of national equipment and technology, with an aim to comply with global market’s needs. Promotion of export of turnkey-factory and turnkey-projects, in order to make an entrance to the global high-value system integration market. Bolstering of international exchanges, allowing European and Asian banking experts assist Taiwanese enterprises in enhancing bids efforts. (3) Establishing of financial assistance schemes to help national enterprises in their overseas bidding efforts Cooperation with financial institutes creating financial support schemes in syndicated loans for overseas bidding, in order to assist national businesses in exporting their turnkey-factories and turnkey-solutions abroad. 4. Strategy No.4 : Acceleration of growth in the innovative sectors Given Taiwan economy’s over-dependence on the growth of the electronics industry, a new mainstream industry replacement should be developed. Moreover, the blur distinction between the manufacturing, service and other industries, presses Taiwan to develop cross-fields of application markets, so that the market opportunities of the future can be fully explored. Examples of these markets include: Smart Campus, Intelligent Transportation System, Smart Health, Smart City, B4G/5G Communications, Strategic Service Industries, Next-Generation Semiconductors, Next-Generation Visual Display, 3D Printing, New Drugs and Medical Instruments, Smart Entertainment, Lifestyle industry (for instance the combination of plan factory and leisure tourism), offshore wind power plant, digital content (including digital learning), deep sea water. Concrete measures include: (1) Promotion of cooperation between enterprises and research institutions to increase efficiency in the functioning of the national innovation process Fostering of Industry-academic cooperation, combining pioneering academic research results with efficient production capability; Cultivation of key technology, accumulation of core intellectual property, strengthening integration of industrial technology and its market application, as well as, establishment of circulation integration platform and operational model for intellectual property. (2) Creating the ideal Ecosystem for innovation industries Strategic planning of demo site, constructing an ideal habitat for the flourishing of innovation industries, as well as the inland solution capability. Promotion of international-level testing environment, helping domestic industries to be integrated with overseas markets and urging the development of new business models through open competition. Encouraging international cooperation efforts, connecting domestic technological innovation capacities with industries abroad. (3) Integration of Cross-Branch Advisory Resources and Deregulation to further support Industrial Development Cross-administrations consultations further deregulation to support an ideal industrial development environment and overcoming traditional cross-branch developmental limitations in an effort to develop innovation industries. IV. Conclusion Taiwan is currently at a pivotal stage in upgrading its industry, the role of the government will be clearly evidenced by its efforts in promoting cross-branch/cross-fields cooperation, establishing a industrial-academic cooperation platform. Simultaneously, the implementation of land, human resources, fiscal, financial and environmental policies will be adopted to further improve the investment ambient, so that Taiwan’s businesses, research institutions and the government could all come together, endeavoring to help Taiwan breakthrough its currently economic impasse through a thorough industrial upgrading. Moreover, it can be argued that the real essence of the present action plan lies in the urge to transform Taiwan’s traditional industries into incubation centers for innovative products and services. With the rapid evolution of ICTs, accelerating development and popular use of Big Data and the Internet of Things, traditional industries can no longer afford to overlook its relation with these technologies and the emerging industries that are backed by them. It is only through the close and intimate interconnection between these two industries that Taiwan’s economy would eventually get the opportunity to discard its outdated growth model based on “quantity” and “cost”. It is believed that the aforementioned interaction is an imperative that would allow Taiwanese industries to redefine its own value amidst fierce global market competition. The principal efforts by the Taiwanese government are in nurturing such a dialogue to occur with the necessary platform, as well as financial and human resources. An illustration of the aforementioned vision can be seen from the “Industrie 4.0” project lead by Germany – the development of intelligent manufacturing, through close government, business and academic cooperation, combining the internet of things development, creating promising business opportunities of the Smart Manufacturing and Services market. This is the direction that Taiwan should be leading itself too. References 1.Executive Yuan, Republic of China http://www.ey.gov.tw/en/（last visited: 2015.02.06） 2.Industrial Development Bureau, Ministry of Economic Affairs http://www.moeaidb.gov.tw/（last visited: 2015.02.06） 3.Industrial Upgrading and Transformation Action Plan http://www.moeaidb.gov.tw/external/ctlr?PRO=filepath.DownloadFile&f=policy&t=f&id=4024（last visited: 2015.02.06）

 Taiwan Announced the Biobanks Regulations and Management Practices

Taiwan Has Passed “Statute of Human Biobank Management” to Maintain Privacy and Improve Medicine Industries Due to lack of regulations, divergent opinions abounded about the establishment of Biobanks and collection of human biological specimen. For example, a researcher in an academic research organization and a hospital-based physician collected biospecimens from native Taiwanese. Although they insisted that the collections were for research only, human rights groups, ethics researchers, and groups for natives´ benefits condemned the collections as an invasion of human rights. Consequently, the Taiwanese government recognized the need for Biobanks regulation. To investigate the relationship between disease and multiple factors and to proceed with possible prevention, The Legislative Yuan Social Welfare and Healthy Environment Committee has passed "the draft statute of human biobank management" through primary reviewing process on December 30, 2009 and subsequently passed through entire three-reading procedure on January 7, 2010. Therefore, the medical and research institute not only can set up optimal gene database for particular disease curing, but also can collect blood sample for database establishment, legally. However, the use of sample collections will be excluded from the use of judiciary purpose. In the light of to establish large scale biobank is going to face the fundamental human right issue, from the viewpoint of biobank management, it is essential not only to set up the strict ethics regulation for operational standard, but also to make the legal environment more complete. For instance, the Department of Health, Executive Yuan had committed the earlier planning of Taiwan biobank establishment to the Academic Sinica in 2006, and planned to collect bio-specimen by recruiting volunteers. However, it has been criticized by all circles that it might be considered violating the Constitution article 8 provision 1 front paragraph, and article 22 rules; moreover, it might also infringe the personal liberty or body information privacy. Therefore, the Executive Yuan has passed the draft statute of human biobank management which was drafted and reviewed by Department of Health during the 3152nd meeting, on July 16, 2009, to achieve the goal of protecting our nation’s privacy and promoting the development of medical science by management biomedical research affairs in more effective ways. Currently, the draft statute has been passed through the primary review procedure by the Legislative Yuan. About the draft statute, there are several important points as following: (1) Sample Definition: Types of collected sample include human somatic cell, tissues, body fluids, or other derivatives; (2) Biobank Establishment: It requires not only to be qualified and permitted, but also to set up the ethical reviewing mechanism to strengthen its management and application; (3)Sample Collection and Participant Protection: In accordance with the draft statute, bio-specimen collecting should respect the living ethics during the time and refer to the "Medical Law" article 64 provision 1; before sample collection, all related points of attention should be kept in written form , the participant should be notified accordingly, and samples can only be collected with the participant’s consent. Furthermore, regarding the restrained read right and setting up participants’ sample process way if there were death or lost of their capacity; (4) Biobank Management: The safety regulation, obligation of active notification, free to retreat, data destruction, confidentiality and obligation, and termination of operation handling are stipulated; and (5) Biobank Application: According to the new draft statute, that the biological data can’t be used for other purposes, for example, the use of inquisition result for the "Civil law", article 1063, provision 2, prosecution for denying the parent-child relationship law suit", or according to the "Criminal law", article 213, provision 6. This rule not only protects the participants’ body information and their privacy right, but also clearly defines application limits, as well as to set up the mechanism for inner control and avoid conflict of interests to prevent unnecessary disputes. Finally, the Department of Health noted that, as many medical researches has shown that the occurrence of diseases are mostly co-effected by various factors such as multiple genes and their living environment, rather than one single gene, developed countries have actively devoted to human biological sample collection for their national biobank establishment. The construction and usage of a large-scale human bank may bring up the critical issue such as privacy protection and ethical problems; however, to meet the equilibrium biomedical research promotion and citizen privacy issue will highly depend on the cooperation and trust between the public and private sectors. Taiwan Department of Health Announced the Human Biobanks Information Security Regulation The field of human biobanks will be governed by the Act of Human Biobanks (“Biobanks Act”) after its promulgation on February 3, 2010 in Taiwan. According to Article 13 of the Biobanks Act, a biobank owner should establish its directive rules based on the regulation of information security of biobanks announced by the competent authority. Thus the Department of Health announced the draft of the Human Biobanks Information Security Regulation (“Regulation”) for the due process requirement. According to the Biobanks Act, only the government institutes, medical institutes, academic institutes, and research institutes are competent to establish biobanks (Article 4). In terms of the collecting of organisms, the participants should be informed of the relevant matters by reasonable patterns, and the collecting of organisms may be conducted after obtaining the written consent of the participants (Article 6). The relative information including the organisms and its derivatives are not allowed to be used except for biological and medical research. After all the protection of biobanks relative information above, the most important thing is the safety regulations and directive rules of the database administration lest all the restrictions of biobanks owners and the use be in vain. The draft Regulation aims to strengthen the safety of biobanks database and assure the data, the systems, the equipments, and the web circumstances are safe for the sake of the participants’ rights. The significant aspects of the draft are described as below. At first, the regulation should refer to the ISO27001, ISO27002 and other official rules. Concerning the personnel management, the security assessment is required and the database management personnel and researchers may not serve concurrently. In case some tasks are outsourced, the contractor should be responsible for the information security; the nondisclosure agreement and auditing mechanism are required. The application system should update periodically including the anti-virus and firewall programs. The biobanks database should be separated physically form internet connection, including the prohibition of information transforming by email or any other patterns through internet. The authorizing protocol of access to the biobanks should be established and all log files should be preserved in a period. The system establishment and maintenance should avoid remote control. In case the database system is physically out of the owner’s control, the authorization of the officer in charge is required. If an information security accident occurred, the bionbanks owner should contact the competent authority immediately and inform the participants by adequate tunnel. The biobanks owner should establish annual security auditing program and the project auditing will be conducted subject to the necessity. To sum up, while the biobanks database security regulation is fully established, the biobanks owners will have the sufficient guidance in connection with the biobank information security to comply with in the future.

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