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.
[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).
Executive Yuan Yuan Promoted “Productivity 4.0” to Boost Global Competitiveness 1.Executive Yuan held the “Productivity 4.0: Strategy Review Board Meeting” to boost industrial transformation The Executive Yuan held the “Productivity 4.0: Strategy Review Board Meeting” on June 4-5th , 2015. The GDP per capita of manufacturing and service industries, including machinery, metal processing, transportation vehicles, 3C, food, textile, logistics, health care, and agriculture, are expected to be over 10 million NT dollars by 2024. This meeting focuses on three topics: Productivity 4.0 industry and technology development strategy, advanced development strategy on advanced manufacturing and innovation application, and strategy on engineering smart tech talents cultivation and Industry-academic Cooperation. The three main themes to be used to put the advanced manufacturing into force are smart automation and robots, sensing and control technologies from Internet of Things (IoT), and technologies used in analyzing the big data. As a result, the digitalization of small- and medium-sized business and smart operation of big business are as the cornerstones to build service-oriented systems and develop advanced manufacturing in R.O.C.. Facing challenges of labor shortages and aging labor forces, the Executive Yuan is planning to implement “Productivity 4.0” to stimulate the process of industry transformation of value-added innovation and provide new products and services in global market. In implementing the above-mentioned policy goals, the Executive Yuan is planning three directions to be followed. First, global competitiveness is depended upon key technologies. As OEMs, manufacturing industry in R.O.C. is unable to provide products of self-owned brand and is vulnerable while facing challenges from other transnational companies. Second, the Premier, Dr. Mao Chi-kuo, made reference of the bicycle industry’s successful development model as an example for the Productivity 4.0 “A-Team” model. Through combining technologies and organizations, the aim is to build competitive supply chains across all the small- and medium-sized business. Finally, the new skills training and the cultivation of talents are more urgent than ever before. While technical and vocational schools, universities and postgraduate studies are needed to be equipped with sufficient fundamental knowledge, those already in the job market have to learn the skills and knowledge necessary for industrial transformation so that they could contribute their capabilities and wisdom for Ourfuture. 2.Executive Yuan Approved “Productivity 4.0 Initiative” to Promote Industry Innovation and Transformation The Executive Yuan has approved the Productivity 4.0 Initiative on September 17, 2015. Before its approval, the Office of Science and Technology (OST) gave a presentation on the Draft of the Productivity 4.0 Initiative on July 23, 2015 detailing the underlying motives behind the program. Confronted with the challenges our traditional industries and OEMs meet, including labor shortages (the national laboring population ranging from age 15 to 65 has seen a substantial decrease of 0.18 to 0.2 million annually) and a aging labor force, the the Productivity 4.0 Initiative sets the directions for industrial development tackling these issues through six main strategies: enhancing and fine-tuning flagship industries’ smart-supply-chain ecosystems, encouraging the establishing of startups, localizing production and services, securing autonomy in key technologies, cultivating practical and technical talents and injection of industrial policy tools. After hearing the presentation on the Initiative, the Premier, Mao Chi-kuo, made reference to the core ideas of the Productivity 4.0 Initiative in his concluding remarks. “The core concept of the Productivity 4.0 Initiative is to propel R.O.C. to a pivotal position in the global manufacturing supply chain by capitalizing on the nation’s core strength in industrial technology, while fostering an outstanding work environment stimulating synergy between employees and automotive systems in order to cope with R.O.C.’s imminent labor shortage,” Mao said Also focusing on the Productivity 4.0 Initiative, the Premier gave a keynote speech titled ‘Views on the current economic and social issues’ at the Third Wednesday Club. He takes the view that the GDP downslide is of a structural nature and the government is going to guide the economy towards an upward path by assisting industries to innovate and transform. In an effort to remove the three major obstacles to innovation and entrepreneurship— discouraging laws and regulations, difficulty in raising capital and gathering financing as well as lack of international partnerships, the government has been diligently promoting the Third Party Payment Act as well as setting-up R.O.C. Rapid Innovation Prototyping League for Enterprises. Among these measures, Industry 4.0 has been at the core of the Initiative, in which cyber-physical production system (CPS) would be introduced by integrating Cloud-computing and Internet of Things technology to spur industrial transformations, specifically industrial manufacturing, added-value services and agricultural production. The Productivity 4.0 Initiative is an imperative measure in dealing with R.O.C.’s imminent issues of labor shortage, and the aging society, its promising effects are waiting to unfold. 3.Executive Yuan’s Further Addendum to “Productivity 4.0 Plan”: Attainment of Core Technologies and the Cultivation of Domestic Technical Talents In an continual effort to put in place the most integrated infrastructural setting for the flourishing of its “Productivity 4.0 Plan”, Executive Yuan Premier Mao Chi-Kuo announced on the 22nd October that the overhaul infrastructural set-up will be focused on the development of core technologies and the cultivation of skilled technical labor. To this end, the Executive Yuan is gathering participation and resources from the Ministry of Economic Affairs (hereafter MOEA), Ministry of Education, Ministry of Science and Technology, Ministry of Labor, the Council of Agriculture, among other governmental bodies, collecting experiences and knowledge from academia and researchers, in order to improve the development of pivotal technologies, the training of skilled technical labor and consequently to improve and reform the present education system so as to meet the aforementioned goals. Premier Mao Chi-Kuo pointed out that Productivity 4.0 is a production concept in which the industry is evolved from mere automation- to intelligent-based manufacturing, shifting towards a “small-volume, large-variety” production paradigm, closing the gaps between production and consumption sides through direct communication, hence allowing industry to push itself further on changing its old efficiency-based production model to an innovation-driven one. Apart from the Research and Development efforts geared towards key technologies, Premier Mao stressed that the people element, involved in this transformative process, is what dictates Productivity 4.0 Plan’s success. The cross-over or multi-disciplinary capability of the labor force is especially significant. In order to bring up the necessary work force needed for Productivity 4.0, besides raising support for the needed Research and Development, an extensive effort should be placed in reforming and upgrading the current educational system, as well as the technical labor and internal corporate educational structure. Moreover, an efficient platform should be implemented so that opinions and experiences could be pooled out, thus fostering closer ties between industry, academia and research. The MOEA stated that the fundamental premise behind the Productivity 4.0 strategy is that by way of systematic, brand-orientated formation of technical support groups, constituted by members of industry, academia and research, will we able to develop key sensor, internet and core technologies for our manufacturing, business and agriculture sector. It is estimated that by the end of year 2016, the Executive Yuan will have completed 6 major Productivity 4.0 production lines; supported the development of technical personnel in smart manufacturing, smart business and smart agriculture, amounting to 2,500 persons; established 4 inter-university, inter-disciplinary strategic partnerships in order to prepare much needed labor force for the realization of the Productivity 4.0 Plan. It is estimated that by the year 2020, industry has already developed the key technologies through the Productivity 4.0 platform, aiding to decrease by 50% the time currently needed to for Research and Development, increasing the technological sovereignty by 50% and accrue production efficiency by 15% and above. Furthermore, through the educational reforms, the nation will be able to lay solid foundations for its future labor talents, as well as connecting them to the world at large, effectively making them fit to face the global markets and to upgrade their production model.
Hard Law or Soft Law? –Global AI Regulation Developments and Regulatory ConsiderationsHard Law or Soft Law? –Global AI Regulation Developments and Regulatory Considerations 2023/08/18 Since the launch of ChatGPT on November 30, 2022, the technology has been disrupting industries, shifting the way things used to work, bringing benefits but also problems. Several law suits were filed by artists, writers and voice actors in the US, claiming that the usage of copyright materials in training generative AI violates their copyright.[1] AI deepfake, hallucination and bias has also become the center of discussion, as the generation of fake news, false information, and biased decisions could deeply affect human rights and the society as a whole.[2] To retain the benefits of AI without causing damage to the society, regulators around the world have been accelerating their pace in establishing AI regulations. However, with the technology evolving at such speed and uncertainty, there is a lack of consensus on which regulation approach can effectively safeguard human rights while promoting innovation. This article will provide an overview of current AI regulation developments around the world, a preliminary analysis of the pros and cons of different regulation approaches, and point out some other elements that regulators should consider. I. An overview of the current AI regulation landscape around the world The EU has its lead in legislation, with its parliament adopting its position on the AI ACT in June 2023, heading into trilogue meetings that aim to reach an agreement by the end of this year.[3] China has also announced its draft National AI ACT, scheduled to enter its National People's Congress before the end of 2023.[4] It already has several administration rules in place, such as the 2021 regulation on recommendation algorithms, the 2022 rules for deep synthesis, and the 2023 draft rules on generative AI.[5] Some other countries have been taking a softer approach, preferring voluntary guidelines and testing schemes. The UK published its AI regulation plans in March, seeking views on its sectoral guideline-based pro-innovation regulation approach.[6] To minimize uncertainty for companies, it proposed a set of regulatory principles to ensure that government bodies develop guidelines in a consistent manner.[7] The US National Institute of Standards and Technology (NIST) released the AI Risk Management Framework in January[8], with a non-binding Blueprint for an AI Bill of Rights published in October 2022, providing guidance on the design and use of AI with a set of principles.[9] It is important to take note that some States have drafted regulations on specific subjects, such as New York City’s Final Regulations on Use of AI in Hiring and Promotion came into force in July 2023.[10] Singapore launched the world’s first AI testing framework and toolkit international pilot in May 2022, with the assistance of AWS, DBS Bank, Google, Meta, Microsoft, Singapore Airlines, etc. After a year of testing, it open-sourced the software toolkit in July 2023, to better develop the system.[11] There are also some countries still undecided on their regulation approach. Australia commenced a public consultation on its AI regulatory framework proposal in June[12], seeking views on its draft AI risk management approach.[13] Taiwan’s government announced in July 2023 to propose a draft AI basic law by September 2023, covering topics such as AI-related definition, privacy protections, data governance, risk management, ethical principles, and industrial promotion.[14] However, the plan was recently postponed, indicating a possible shift towards voluntary or mandatory government principles and guidance, before establishing the law.[15] II. Hard law or soft law? The pros and cons of different regulatory approaches One of the key advantages of hard law in AI regulation is its ability to provide binding legal obligations and legal enforcement mechanisms that ensure accountability and compliance.[16] Hard law also provides greater legal certainty, transparency and remedies for consumers and companies, which is especially important for smaller companies that do not have as many resources to influence and comply with fast-changing soft law.[17] However, the legislative process can be time-consuming, slower to update, and less agile.[18] This poses the risk of stifling innovation, as hard law inevitably cannot keep pace with the rapidly evolving AI technology.[19] In contrast, soft law represents a more flexible and adaptive approach to AI regulation. As the potential of AI still remains largely mysterious, government bodies can formulate principles and guidelines tailored to the regulatory needs of different industry sectors.[20] In addition, if there are adequate incentives in place for actors to comply, the cost of enforcement could be much lower than hard laws. Governments can also experiment with several different soft law approaches to test their effectiveness.[21] However, the voluntary nature of soft law and the lack of legal enforcement mechanisms could lead to inconsistent adoption and undermine the effectiveness of these guidelines, potentially leaving critical gaps in addressing AI's risks.[22] Additionally, in cases of AI-related harms, soft law could not offer effective protection on consumer rights and human rights, as there is no clear legal obligation to facilitate accountability and remedies.[23] Carlos Ignacio Gutierrez and Gary Marchant, faculty members at Arizona State University (ASU), analyzed 634 AI soft law programs against 100 criteria and found that two-thirds of the program lack enforcement mechanisms to deliver its anticipated AI governance goals. He pointed out that credible indirect enforcement mechanisms and a perception of legitimacy are two critical elements that could strengthen soft law’s effectiveness.[24] For example, to publish stem cell research in top academic journals, the author needs to demonstrate that the research complies with related research standards.[25] In addition, companies usually have a greater incentive to comply with private standards to avoid regulatory shifts towards hard laws with higher costs and constraints.[26] III. Other considerations Apart from understanding the strengths and limitations of soft law and hard law, it is important for governments to consider each country’s unique differences. For example, Singapore has always focused on voluntary approaches as it acknowledges that being a small country, close cooperation with the industry, research organizations, and other governments to formulate a strong AI governance practice is much more important than rushing into legislation.[27] For them, the flexibility and lower cost of soft regulation provide time to learn from industries to prevent forming rules that aren’t addressing real-world issues.[28] This process allows preparation for better legislation at a later stage. Japan has also shifted towards a softer approach to minimize legal compliance costs, as it recognizes its slower position in the AI race.[29] For them, the EU AI Act is aiming at regulating Giant Tech companies, rather than promoting innovation.[30] That is why Japan considers that hard law does not suit the industry development stage they’re currently in.[31] Therefore, they seek to address legal issues with current laws and draft relevant guidance.[32] IV. Conclusion As the global AI regulatory landscape continues to evolve, it is important for governments to consider the pros and cons of hard law and soft law, and also country-specific conditions in deciding what’s suitable for the country. Additionally, a regular review on the effectiveness and impact of their chosen regulatory approach on AI’s development and the society is recommended. Reference: [1] ChatGPT and Deepfake-Creating Apps: A Running List of Key AI-Lawsuits, TFL, https://www.thefashionlaw.com/from-chatgpt-to-deepfake-creating-apps-a-running-list-of-key-ai-lawsuits/ (last visited Aug 10, 2023); Protection for Voice Actors is Artificial in Today’s Artificial Intelligence World, The National Law Review, https://www.natlawreview.com/article/protection-voice-actors-artificial-today-s-artificial-intelligence-world (last visited Aug 10, 2023). [2] The politics of AI: ChatGPT and political bias, Brookings, https://www.brookings.edu/articles/the-politics-of-ai-chatgpt-and-political-bias/ (last visited Aug 10, 2023); Prospect of AI Producing News Articles Concerns Digital Experts, VOA, https://www.voanews.com/a/prospect-of-ai-producing-news-articles-concerns-digital-experts-/7202519.html (last visited Aug 10, 2023). [3] EU AI Act: first regulation on artificial intelligence, European Parliament, https://www.europarl.europa.eu/news/en/headlines/society/20230601STO93804/eu-ai-act-first-regulation-on-artificial-intelligence (last visited Aug 10, 2023). [4] 中國國務院發布立法計畫 年內審議AI法草案,經濟日報(2023/06/09),https://money.udn.com/money/story/5604/7223533 (last visited Aug 10, 2023). [5] id [6] A pro-innovation approach to AI regulation, GOV.UK, https://www.gov.uk/government/publications/ai-regulation-a-pro-innovation-approach/white-paper (last visited Aug 10, 2023). [7] id [8] AI RISK MANAGEMENT FRAMEWORK, NIST, https://www.nist.gov/itl/ai-risk-management-framework (last visited Aug 10, 2023). [9] The White House released an ‘AI Bill of Rights’, CNN, https://edition.cnn.com/2022/10/04/tech/ai-bill-of-rights/index.html (last visited Aug 10, 2023). [10] New York City Adopts Final Regulations on Use of AI in Hiring and Promotion, Extends Enforcement Date to July 5, 2023, Littler https://www.littler.com/publication-press/publication/new-york-city-adopts-final-regulations-use-ai-hiring-and-promotionv (last visited Aug 10, 2023). [11] IMDA, Fact sheet - Open-Sourcing of AI Verify and Set Up of AI Verify Foundation (2023), https://www.imda.gov.sg/-/media/imda/files/news-and-events/media-room/media-releases/2023/06/7-jun---ai-annoucements---annex-a.pdf (last visited Aug 10, 2023). [12] Supporting responsible AI: discussion paper, Australia Government Department of Industry, Science and Resources,https://consult.industry.gov.au/supporting-responsible-ai (last visited Aug 10, 2023). [13] Australian Government Department of Industry, Science and Resources, Safe and responsible AI in Australia (2023), https://storage.googleapis.com/converlens-au-industry/industry/p/prj2452c8e24d7a400c72429/public_assets/Safe-and-responsible-AI-in-Australia-discussion-paper.pdf (last visited Aug 10, 2023). [14] 張璦,中央通訊社,AI基本法草案聚焦隱私保護、應用合法性等7面向 擬設打假中心,https://www.cna.com.tw/news/ait/202307040329.aspx (最後瀏覽日:2023/08/10)。 [15] 蘇思云,中央通訊社,2023/08/01,鄭文燦:考量技術發展快應用廣 AI基本法延後提出,https://www.cna.com.tw/news/afe/202308010228.aspx (最後瀏覽日:2023/08/10)。 [16] supra, note 13, at 27. [17] id. [18] id., at 28. [19] Soft law as a complement to AI regulation, Brookings, https://www.brookings.edu/articles/soft-law-as-a-complement-to-ai-regulation/ (last visited Aug 10, 2023). [20] supra, note 5. [21] Gary Marchant, “Soft Law” Governance of Artificial Intelligence (2019), https://escholarship.org/uc/item/0jq252ks (last visited Aug 10, 2023). [22] How soft law is used in AI governance, Brookings,https://www.brookings.edu/articles/how-soft-law-is-used-in-ai-governance/ (last visited Aug 10, 2023). [23] supra, note 13, at 27. [24] Why Soft Law is the Best Way to Approach the Pacing Problem in AI, Carnegie Council for Ethics in International Affairs,https://www.carnegiecouncil.org/media/article/why-soft-law-is-the-best-way-to-approach-the-pacing-problem-in-ai (last visited Aug 10, 2023). [25] id. [26] id. [27] Singapore is not looking to regulate A.I. just yet, says the city-state’s authority, CNBC,https://www.cnbc.com/2023/06/19/singapore-is-not-looking-to-regulate-ai-just-yet-says-the-city-state.html#:~:text=Singapore%20is%20not%20rushing%20to,Media%20Development%20Authority%2C%20told%20CNBC (last visited Aug 10, 2023). [28] id. [29] Japan leaning toward softer AI rules than EU, official close to deliberations says, Reuters, https://www.reuters.com/technology/japan-leaning-toward-softer-ai-rules-than-eu-source-2023-07-03/ (last visited Aug 10, 2023). [30] id. [31] id. [32] id.
Innovative Practice of Israel's Government ProcurementInnovative Practice of Israel's Government Procurement Government procurement is an important pillar of government services. Because of the huge number of government purchases, government procurement management play an important role in promoting public sector efficiency and building citizenship. Well-designed government procurement systems also help to achieve policy such as environmental protection, innovation, start-ups and the development of small and medium-sized enterprises. Nowadays, countries in the world, especially OECD countries, have been widely practiced with innovative procurement to stimulate innovation and start-ups, and call Innovation procurement can deliver solutions to challenges of public interest and ICTs can play a major role in this. However, in the OECD countries, in addition to the advanced countries that have been developed, many developing countries have also used government procurement to stimulate national R & D and innovation with remarkable results. Israel is one of the world's leading technology innovation centers, one of the most innovative economies in the world, continues to leverage its own strengths, support of technology entrepreneurship and unique environment, an international reputation in the high-tech industry, the spirit of technological innovation and novelty. Government procurement is a core element of the activities of Israeli government, agreement with suppliers and compliance with the Mandatory Tenders Law. The main challenge is how to ensure efficiency and maintain government performance while ensuring an equitable and transparent procurement process. Israel’s Mandatory Tenders Law has shown the central role played by the Israeli Supreme Court in creating and developing this law, even in the absence of any procurement legislation, based instead on general principles of administrative law. Once the project of creating a detailed body of public tendering law had been completed, and the legislator was about to step in, the Supreme Court was prepared to step out and transferring the jurisdiction to lower courts. The Knesset passed the Mandatory Tenders Law, and based on it the Government issued the various tendering regulations. Besides, Israel's various international agreements on government procurement, mainly GPA and other bilateral international agreements such as free trade agreements with Mexico and Colombia and free trade agreements and memoranda of understanding with the United States. The practical significance of these commitments can only be understood on the backdrop of Israel’s domestic preference and offset policies. These policies were therefore discussed and analyzed as they apply when none of the international agreements applies. The Challenge Tenders "How to solve the problem of overcrowding in the emergency department and the internal medicine department?" is the first of a series of "problem solicitations" released by the Israeli Ministry of Health which seeks to find a digital solution to the public health system problem, questions from the government while avoiding preconceived prejudices affect the nature of the solution, allowing multiple innovative ideas from different fields to enter the health system, make fair and transparent judgments about the ideal solution to the problem. In order to ensure transparency and integrity, equality, efficiency and competition in the decision-making process, the tender proposed by the Israeli Ministry of Health defines a two-stage tender process. The Ministry of Health of Israel, in order to improve the quality of medical care, shorten the waiting time for hospitalized patients, protect the dignity of patients and their families with patients as its center, and ensure their rights, while alleviating the burden of hospital staff, so as to pass the targeted treatment areas reduce the gap between various residential areas. The Israeli government deals with these issues through challenging tenders and offers a digital solution combined with innovative ideas. The initiative proposed through the development of public service projects can raise the level of public services in the country and help the government to reduce costs and achieve the purpose of promoting innovation with limited conceptual, technical and financial capabilities. In addition, due to the online operation of the challenging tender process throughout the entire process, fair and transparent procedures can be ensured, while public-private partnerships are encouraged to facilitate the implementation of the implementation plan.
Research on Taiwan’s Policies of Innovative Industry Development in Recent Years (2015-2016)Research on Taiwan’s Policies of Innovative Industry Development in Recent Years (2015-2016) 1. “Five plus Two” Innovative Industries Policy On June 15, 2016, Premier Lin Chuan met with a group of prominent business leaders to talk about a government project on five innovative industries, which aim to drive the next generation of businesses in R.O.C.. Subsequently the program was expanded to include “new agriculture” and the “circular economy” as the “+2.” The program was then broadened even further to include the Digital Economy and Cultural Innovation, with even Semiconductors and IC Design included, although the name of the policy remains 5+2. Speaking at the Third Wednesday Club in Taipei, Premier Lin said the industries require more investment to drive the next generation of industry growth momentum in R.O.C., create high-quality jobs, and upgrade the industrial competitiveness. Executive Yuan has selected the five innovative industries of Asia Silicon Valley, smart machinery, green energy, biotech & pharmaceutical industry, and national defense, which will be the core for pushing forward the next-generation industrial growth and improve overall environment by creating a cluster effect that links local and global industries, while simultaneously raising wages and stimulating employment. Premier Lin said, regarding industrial competitiveness and investment issues the lackluster economy has stifled investment opportunities, and with limited government budgets, the private sector must play the larger role in investments. Regarding the “Five major Innovative Industries” project, Premier Lin said the National Development Council is currently drafting long-term plan to attract talent, create a thriving working environment, and infuse companies with more innovation, entrepreneurship and young workers. In addition, R.O.C. must also cultivate a strong software industry, without which it would be difficult to build a highly intelligent infrastructure. The National Development Council said the program possess both the capacity of domestic demand and local characteristics, as the core for pushing forward the next-generation industrial growth. The government aims to promote a seamless synergy of investment, technology, and the talent, in order to develop innovative industrial clusters for furthering global linkage and nurturing international enterprises. In the meantime, the government also aims at achieving the enhancement of technology levels, balanced regional development, as well as realizing the benefits of job creation. 2. The Asia Silicon Valley Development Plan In September 2016 the government approved the Asia Silicon Valley Development Plan, which connect Taiwan to global tech clusters and create new industries for the next generation. By harnessing advanced technological research and development results from around the world, the plan hopes to promote innovation and R&D for devices and applications of the internet of things (IoT), and upgrade Taiwan’s startup and entrepreneurship ecosystem. The four implementation strategies are as follows: (1) Building a comprehensive ecosystem to support innovation and entrepreneurship (2) Connect with international research and development capabilities (3) Create an IoT value chain (4) Construct diversified test beds for smart products and services by establishing a quality internet environment Taiwan’s first wave of industrial development was driven by continuous technological innovation, and the wave that followed saw the information industry become a major source of economic growth. 3. Global Hub for Smart Machinery On July 21, 2016, Premier Lin Chuan said at a Cabinet meeting, the government aims to forge Taiwan into a global manufacturing hub for intelligent machinery and high-end equipment parts. Upgrading from precision machinery to intelligent machinery is the main goal of putting intelligent machinery industry into focal execution area expecting to create jobs and to maximize the production of production line as well as to forge central Taiwan into a global manufacturing hub for smart machinery. The Ministry of Economic draws up the Intelligent Machinery Promotion Program to establish the applications of the technology and capacity of services that fit the demand of the market. The program embodies two parts. The first is to accelerate the industrialization of intelligent machinery for building an ecosystem. The second is to improve intelligentization by means of introducing the intelligent machinery into the industries. The execution policy of the Intelligent Machinery Promotion Program is to integrate the intelligent functions such as malfunctions predictions, accuracy compensation, and automatic parameter setting into the machinery industry so as to have the ability to render the whole solutions to the problem. Simultaneously, the program employs three strategies, which are connecting with the local industries, connecting with the future, and connecting with the world, to develop the mentioned vision and objectives. Especially, the way to execute the strategy of connecting with the local industries consists of integrating the capabilities of industry, research organization and the government. At the meantime, the government will encourage the applications of smart vehicles and unmanned aerial vehicles and train the talents as well. The thinking of connecting with the future lies in the goal of deepening the technologies, establishing systematic solutions, and providing a testing areas, which focus on the related applications such as aerospace, advanced semiconductor, smart transportation, green vehicles, energy industry, whole solutions between factories, intelligent man-machine coordination, and robots of machine vision combined with intelligent machinery applications. The government would strengthen the cross-cutting cooperation to develop machines for aerospace and integrate the system of industrial division to form a cluster in order to create Taiwanese IoT technology. Eventually, Taiwan will be able to connect with the world, enhance international cooperation, expand export trade and push industry moving toward the age of information and digital economy and break the edge of industry technology to make the industry feel the goodwill of the government. 4. Green energy innovations The government’s “five plus two” innovative industries program includes a green energy industrial innovation plan passed October 27, 2016 that will focus on Taiwan’s green needs, spur extensive investments from within and outside the country, and increase quality employment opportunities while supporting the growth of green energy technologies and businesses. The government is developing the Shalun Green Energy Science City. The hub’s core in Shalun will house a green energy technology research center as well as a demo site, providing facilities to develop research and development (R&D) capabilities and conduct the requisite certification and demonstration procedures. The joint research center for green energy technologies will integrate the efforts of domestic academic institutions, research institutes, state-run enterprises and industry to develop green energy technologies, focusing on four major functions: creating, conserving and storing energy, as well as system integration. Development strategies include systems integration and finding better ways to conserve, generate and store energy by promoting green energy infrastructure, expanding renewable energy capabilities and cooperating with large international firms. The emergence of the green economy has prompted the government to build infrastructure that will lay the foundation for Taiwan’s green energy sector, transform the nation into a nuclear-free society, and spur industrial innovation. For innovative technology industries, green energy industries can drive domestic economic development by attracting more venture capital and creating more employment opportunities. 5. Biomedical Industry Innovation Program To facilitate development of Taiwan’s biomedical industry, the government proposed a “biomedical industrial innovation promotion program” on November 10, 2016 to serve as the nation’s new blueprint for innovative biomedical research and development (R&D). To facilitate development of the biomedical industry, the government proposed a “biomedical industrial innovation promotion program”. The program centered on the theme of “local, global and future links,” “the biomedical industrial innovation promotion program” includes four action plans: (1) Build a comprehensive ecosystem To address a rapidly ageing global population, Taiwan will enhance the biomedical industry’s capacity for innovation by focusing on talent, capital, topic selection, intellectual property, laws and regulations, and resources. (2) Integrate innovative business clusters Established by the Ministry of Science and Technology and based in Hsinchu Biomedical Science Park, the center will serve as a government think tank on related issues. It is also tasked with initiating and advancing exchanges among local and foreign experts, overseeing project implementation, promoting investment and recruiting talents. Equally important, it will play a central role in integrating resources from other biomedical industry clusters around the country, including Nangang Software Park in Taipei City, Central Taiwan Science Park in Taichung City and Southern Science Park in Tainan City. (3) Connect global market resources Building on Taiwan’s advantages, promote M&A and strategic alliances, and employ buyout funds and syndicated loans to purchase high-potential small and medium-sized international pharmaceutical companies, medical supply companies, distributors and service providers. Use modern mosquito-borne disease control strategies as the foundation of diplomatic cooperation, and promote the development of Taiwan’s public health care and medical services in Southeast Asian countries. (4) Promote specialized key industries Promote niche precision medical services, foster clusters of world-class specialty clinics, and develop industries in the health and wellness sectors. 6. DIGITAL NATION AND INNOVATIVE ECONOMIC DEVELOPMENT PLAN On November 24, 2016, the Executive Yuan promote the Digital Nation and Innovative Economic Development Plan (2017-2025) (DIGI+ program), the plan’s main goals for 2025 are to grow R.O.C.’s digital economy to NT $ 6.5 trillion (US$205.9 billion), increase the digital lifestyle services penetration rate to 80 percent, speed up broadband connections to 2 Gbps, ensure citizens’ basic rights to have 25 Mbps broadband access, and put R.O.C. among the top 10 information technology nations worldwide. In addition to the industrial economy, the program can jump off bottlenecks in the past industrial development, and promote the current Internet of things, intelligent machinery, green energy, medical care and other key national industries, but also attaches great importance to strengthening the digital infrastructure construction, the development of equal active, as well as the creation of a service-oriented digital government. It is also hoped that through the construction of a sustainable and intelligent urban and rural area, the quality of life will be improved and the people will enjoy a wealthy and healthy life. Over the next 8 years, the government will spend more than NT $ 150 billion. 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 R.O.C.’s standing in the global digital service economy. The program aims to build a favorable environment for digital innovation and to create a friendly legal environment to complete the draft amendments to the Digital Communications Law and the Telecommunications Act as soon as possible, foster cross-domain digital talents and develop advanced digital technologies, To create a digital economy, digital government, network society, smart urban and rural and other national innovation ecological environment in order to achieve "the development of active network society, promote high value innovation economy, open up rich countries of the policy vision. 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. 7. “NEW AGRICULTURE” PROMOTION PROJECT At a Cabinet meeting On December 08, 2016, Premier Lin Chuan underscored the importance of a new agricultural paradigm for Taiwan’s economic development, adding that new agriculture is an integral part of the “five plus two” industrial innovation projects proposed by President Tsai Ing-wen. The “new agriculture” promotion project uses innovation technology to bring value to agricultural, and build new agricultural paradigm, agricultural safety systems and promote agricultural marketing. This project also takes resources recycling and environmental sustainability into consideration to promote agricultural transformation, and build a robust new agricultural system. This agricultural project is expected to increase food self-sufficiency rate to 40%, level up agricultural industry value by NT$43.4 billion, create 370,000 jobs and increase portion of total agricultural exports to new overseas markets to 57% by 2020. This project contains three aspects: First is “building new agricultural paradigm”: to protect farmers, agricultural development and ensure sustainability of the environment. Second is “building agricultural safety systems”: Ensuring product safety and quality, and building a certification system which can be trust by the consumers and is consistent with international standards. Last but not least is “leveling up agricultural marketing and promotions”: enhancing promotion, making the agricultural industry become profitable and sustainable. Council of Agriculture’s initiatives also proposed 10 policies to leverage agricultural industry, not only just use the passive subsidies measure of the past. These policies including promoting environmentally friendly farming practices; giving farmers that are beneficial(green) to the land payments; stabilizing farmers’ incomes; increasing the competitiveness of the livestock and poultry industries; using agricultural resources sustainably; ensuring the safety of agricultural products; developing technological innovation; leveling up food security; increasing diversification of domestic and external marketing channels; and increasing agriculture industry added value. In this statutes report, Council of Agriculture said this project will accelerate reforms, create new agricultural models and safety systems, but also build a new sustainable paradigm of agricultural. Premier Lin Chuan also backed this “five plus two innovative industries” program and “new agriculture” project, and asked Council of Agriculture to reviewing the possible legal changes or amendment that may help to enhance the transformation of agricultural sector.