Reviews on Taiwan Constitutional Court's Judgment no. 13 of 2022
2022/11/24
I.Introduction
In 2012, the Taiwan Human Rights Promotion Association and other civil groups believe that the National Health Insurance Administration released the national health insurance database and other health insurance data for scholars to do research without consent, which may be unconstitutional and petitioned for constitutional interpretation.
Taiwan Human Rights Promotion Association believes that the state collects, processes, and utilizes personal data on a large scale with the "Personal Data Protection Law", but does not set up another law of conduct to control the exercise of state power, which has violated the principle of legal retention; the data is provided to third-party academic research for use, and the parties involved later Excessive restrictions on the right to withdraw go against the principle of proportionality.
The claimant criticized that depriving citizens of their prior consent and post-control rights to medical data is like forcing all citizens to unconditionally contribute data for use outside the purpose before they can use health insurance. The personal data law was originally established to "avoid the infringement of personality rights and promote the rational use of data", but in the insufficient and outdated design of the regulations, it cannot protect the privacy of citizens' information from infringement, and it is easy to open the door to the use of data for other purposes.
In addition, even if the health insurance data is de-identified, it is still "individual data" that can distinguish individuals, not "overall data." Health insurance data can be connected with other data of the Ministry of Health and Welfare, such as: physical and mental disability files, sexual assault notification files, etc., and you can also apply for bringing in external data or connecting with other agency data. Although Taiwan prohibits the export of original data, the risk of re-identification may also increase as the number of sources and types of data concatenated increases, as well as unspecified research purposes.
The constitutional court of Taiwan has made its judgment on the constitutionality of the personal data usage of National Health Insurance research database. The judgment, released on August 12, 2022, states that Article 6 of Personal Data Protection Act(PDPA), which asks “data pertaining to a natural person's medical records, healthcare, genetics, sex life, physical examination and criminal records shall not be collected, processed or used unless where it is necessary for statistics gathering or academic research by a government agency or an academic institution for the purpose of healthcare, public health, or crime prevention, provided that such data, as processed by the data provider or as disclosed by the data collector, may not lead to the identification of a specific data subject” does not violate Intelligible principle and Principle of proportionality. Therefore, PDPA does not invade people’s right to privacy and remains constitutional.
However, the judgment finds the absence of independent supervisory authority responsible for ensuring Taiwan institutions and bodies comply with data protection law, can be unconstitutional, putting personal data protection system on the borderline to failure. Accordingly, laws and regulations must be amended to protect people’s information privacy guaranteed by Article 22 of Constitution of the Republic of China (Taiwan).
In addition, the judgment also states it is unconstitutional that Articles 79 and 80 of National Health Insurance Law and other relevant laws lack clear provisions in terms of store, process, external transmission of Personal health insurance data held by Central Health Insurance Administration of the Ministry of Health and Welfare.
Finally, the Central Health Insurance Administration of the Ministry of Health and Welfare provides public agencies or academic research institutions with personal health insurance data for use outside the original purpose of collection. According to the overall observation of the relevant regulations, there is no relevant provision that the parties can request to “opt-out”; within this scope, it violates the intention of Article 22 of the Constitution to protect people's right to information privacy.
II.Independent supervisory authority
According to Article 3 of Central Regulations and Standards Act, government agencies can be divided into independent agencies that can independently exercise their powers and operate autonomously, and non- independent agencies that must obey orders from their superiors. In Taiwan, the so-called "dedicated agency"(專責機關) does not fall into any type of agency defined by the Central Regulations and Standards Act. Dedicated agency should be interpreted as an agency that is responsible for a specific business and here is no other agency to share the business.
The European Union requires member states to set up independent regulatory agencies (refer to Articles 51 and 52 of General Data Protection Regulation (GDPR)). In General Data Protection Regulation and the adequacy reference guidelines, the specific requirements for personal data supervisory agencies are as follows: the country concerned should have one or more independent supervisory agencies; they should perform their duties completely independently and cannot seek or accept instructions; the supervisory agencies should have necessary and practicable powers, including the power of investigation; it should be considered whether its staff and budget can effectively assist its implementation. Therefore, in order to pass the EU's adequacy certification and implement the protection of people's privacy and information autonomy, major countries have set up independent supervisory agencies for personal data protection based on the GDPR standards.
According to this research, most countries have 5 to 10 commissioners that independently exercise their powers to supervise data exchange and personal data protection. In order to implement the powers and avoid unnecessary conflicts of interests among personnel, most of the commissioners are full-time professionals. Article 3 of Basic Code Governing Central Administrative Agencies Organizations defines independent agency as "A commission-type collegial organization that exercises its powers and functions independently without the supervision of other agencies, and operates autonomously unless otherwise stipulated." It is similar to Japan, South Korea, and the United States.
III.Right to Opt-out
The judgment pointed out that the parties still have the right to control afterwards the personal information that is allowed to be collected, processed and used without the consent of the parties or that meets certain requirements. Although Article 11 of PDPA provides for certain parties to exercise the right to control afterwards, it does not cover all situations in which personal data is used, such as: legally collecting, processing or using correct personal data, and its specific purpose has not disappeared, In the event that the time limit has not yet expired, so the information autonomy of the party cannot be fully protected, the subject, cause, procedure, effect, etc. of the request for suspension of use should be clearly stipulated in the revised law, and exceptions are not allowed.
The United Kingdom is of great reference. In 2017, after the British Information Commissioner's Office (ICO) determined that the data sharing agreement between Google's artificial intelligence DeepMind and the British National Health Service (NHS) violated the British data protection law, the British Department of Health and Social Care proposed National data opt-out Directive in May, 2018. British health and social care-related institutions may refer to the National Data Opt-out Operational Policy Guidance Document published by the National Health Service in October to plan the mechanism for exercising patient's opt-out right. The guidance document mainly explains the overall policy on the exercise of the right to opt-out, as well as the specific implementation of suggested practices, such as opt-out response measures, methods of exercising the opt-out right, etc.
National Data Opt-out Operational Policy Guidance Document also includes exceptions and restrictions on the right to opt-out. The Document stipulates that exceptions may limit the right to Opt-out, including: the sharing of patient data, if it is based on the consent of the parties (consent), the prevention and control of infectious diseases (communicable disease and risks to public health), major public interests (overriding) Public interest), statutory obligations, or cooperation with judicial investigations (information required by law or court order), health and social care-related institutions may exceptionally restrict the exercise of the patient's right to withdraw.
What needs to be distinguished from the situation in Taiwan is that when the UK first collected public information and entered it into the NHS database, there was already a law authorizing the NHS to search and use personal information of the public. The right to choose to enter or not for the first time; and after their personal data has entered the NHS database, the law gives the public the right to opt-out. Therefore, the UK has given the public two opportunities to choose through the enactment of special laws to protect public's right to information autonomy.
At present, the secondary use of data in the health insurance database does not have a complete legal basis in Taiwan. At the beginning, the data was automatically sent in without asking for everyone’s consent, and there was no way to withdraw when it was used for other purposes, therefore it was s unconstitutional. Hence, in addition to thinking about what kind of provisions to add to the PDPA as a condition for "exception and non-request for cessation of use", whether to formulate a special law on secondary use is also worthy of consideration by the Taiwan government.
IV.De-identification
According to the relevant regulations of PDPA, there is no definition of "de-identification", resulting in a conceptual gap in the connotation. In other words, what angle or standard should be used to judge that the processed data has reached the point where it is impossible to identify a specific person. In judicial practice, it has been pointed out that for "data recipients", if the data has been de-identified, the data will no longer be regulated by PDPA due to the loss of personal attributes, and it is even further believed that de-identification is not necessary.
However, the Judgment No. 13 of Constitutional Court, pointed out that through de-identification measures, ordinary people cannot identify a specific party without using additional information, which can be regarded as personal data of de-identification data. Therefore, the judge did not give an objective standard for de-identification, but believed that the purpose of data utilization and the risk of re-identification should be measured on a case-by-case basis, and a strict review of the constitutional principle of proportionality should be carried out. So far, it should be considered that the interpretation of the de-identification standard has been roughly finalized.
V.Conclusions
The judge first explained that if personal information is processed, the type and nature of the data can still be objectively restored to indirectly identify the parties, no matter how simple or difficult the restoration process is, if the data is restored in a specific way, the parties can still be identified. personal information. Therefore, the independent control rights of the parties to such data are still protected by Article 22 of the Constitution.
Conversely, when the processed data objectively has no possibility to restore the identification of individuals, it loses the essence of personal data, and the parties concerned are no longer protected by Article 22 of the Constitution.
Based on this, the judge declared that according to Article 6, Item 1, Proviso, Clause 4 of the PDPA, the health insurance database has been processed so that the specific party cannot be identified, and it is used by public agencies or academic research institutions for medical and health purposes. Doing necessary statistical or academic research complies with the principles of legal clarity and proportionality, and does not violate the Constitution.
However, the judge believes that the current personal data law or other relevant regulations still lack an independent supervision mechanism for personal data protection, and the protection of personal information privacy is insufficient. In addition, important matters such as personal health insurance data can be stored, processed, and transmitted externally by the National Health Insurance Administration in a database; the subject, purpose, requirements, scope, and method of providing external use; and organizational and procedural supervision and protection mechanisms, etc. Articles 79 and 80 of the Health Insurance Law and other relevant laws lack clear provisions, so they are determined to be unconstitutional.
In the end, the judge found that the relevant laws and regulations lacked the provisions that the parties can request to stop using the data, whether it is the right of the parties to request to stop, or the procedures to be followed to stop the use, there is no relevant clear text, obviously the protection of information privacy is insufficient. Therefore, regarding unconstitutional issues, the Constitutional Court ordered the relevant agencies to amend the Health Insurance Law and related laws within 3 years, or formulate specific laws.
Legal Analysis of the U.S. BIOSECURE Act: Implications for Taiwanese Biotechnology Companies 2024/11/15 I.Introduction The U.S. BIOSECURE Act (H.R.8333)[1](hereunder, "BIOSECURE Act" or "Act") is a strategic legislative measure designed to protect U.S. biotechnology technologies and data from potential exploitation by foreign entities deemed to be threats to national security. Passed by the House of Representatives on September 9, 2024, with a vote of 306-81[2], the Act demonstrates robust bipartisan support to limit foreign influence in critical U.S. sectors. Passed during the legislative session known as "China Week[3]," the Act imposes restrictions on government contracts, funding, and technological cooperation with entities classified as "Biotechnology Companies of Concern" (hereunder, "BCCs") that are affiliated with adversarial governments. Given Taiwan's prominent role in biotechnology and its strong trade ties with the U.S., Taiwanese companies must examine the implications of the BIOSECURE Act, specifically in regard to technology acquisition from restricted foreign companies and compliance obligations for joint projects with U.S. partners. This analysis will delve into three core aspects of the BIOSECURE Act: (1) the designation and evaluation of BCCs, (2) prohibitions on transactions involving BCCs, and (3) enforcement mechanisms. Each section will evaluate potential impacts on Taiwanese companies, focusing on how the Act might influence technology transfers, compliance obligations, and partnership opportunities within the U.S. biotechnology supply chain. II.Designation and Evaluation of Biotechnology Companies of Concern A central element of the BIOSECURE Act is the process of identifying and evaluating foreign biotechnology companies considered potential threats to U.S. national security.[4] Under Section 2(f)(2) of the Act, a "Biotechnology Company of Concern" is defined as any entity associated with adversarial governments—specifically, China, Russia, North Korea, and Iran[5]—that engages in activities or partnerships posing risks to U.S. security[6]. These risks may include collaboration with foreign military or intelligence agencies, involvement in dual-use research, or access to sensitive personal or genetic information of U.S. citizens. Companies already designated as BCCs include BGI, MGI, Complete Genomics, WuXi AppTec, and WuXi Biologics, all of which have substantial ties to China and the Chinese government or military[7]. Under Section 2(f)(4) of the Act, the Office of Management and Budget (OMB) is required to continuously evaluate and update the BCC list in consultation with agencies such as the Department of Defense, Department of Commerce, and the National Intelligence Community to reflect evolving security concerns[8]. The designation process presents significant challenges for Taiwanese companies, particularly those that have connections with BCCs or rely on BCC technologies for their products, diagnostics, or research initiatives. For instance, if a Taiwanese company uses gene sequencing technology or multiomics tools sourced from one of the designated BCCs, it may face restrictions when pursuing contracts with U.S. entities or seeking federal funding. To proactively address these challenges, Taiwanese companies should establish compliance protocols that verify the origin of their technology and data sources. Moreover, developing new supply chain relationships with U.S. or European suppliers may not only reduce reliance on BCC-affiliated technology but also enhance Taiwanese companies' reputation as secure and reliable partners in the biotechnology industry. By adapting proactively to the BCC designation process, Taiwanese companies can anticipate and respond to future regulatory shifts more effectively. Diversifying their technology base away from BCCs positions these companies to better align with U.S. biosecurity standards, thereby becoming more attractive collaborators for U.S.-based biotechnology and life sciences companies. Given the rapid pace of regulatory and security developments, staying informed about changes in BCC designations will enable Taiwanese companies to operate with greater agility, adjusting suppliers and adopting new compliance measures as needed. Such proactive alignment can strengthen their resilience and reinforce their status as stable and secure participants in the global biotechnology landscape. III.Prohibition on Government Contracts and Funding A core component of the BIOSECURE Act is its stringent restrictions on contracting and funding involving entities linked to BCCs, as detailed in Section 2(a) of the act[9]. These restrictions extend beyond direct federal interactions to include any recipients of federal funds, prohibiting them from using such funds to procure biotechnology products or services from BCCs[10]. By curtailing federal support and preventing indirect financial benefits to these companies, the U.S. aims to mitigate national security risks posed by adversarial governments. The wide-reaching scope of these prohibitions makes the BIOSECURE Act one of the most comprehensive legislative efforts to secure the biotechnology sector and address concerns over foreign technologies potentially compromising U.S. security interests. For Taiwanese biotechnology companies, these prohibitions introduce substantial compliance demands, particularly for companies that utilize BCC technology within their supply chains. For example, a Taiwanese company engaged in a joint research project with a U.S. government contractor may be required to demonstrate that none of its technology or data sources originate from BCCs. Compliance could necessitate rigorous supply chain audits and operational adjustments, potentially increasing short-term costs. However, aligning with U.S. regulatory standards preemptively can position Taiwanese companies as more desirable partners for U.S. entities that are increasingly prioritizing security and regulatory adherence. The BIOSECURE Act also incentivizes Taiwanese companies to explore alternative technology providers that meet U.S. biosecurity criteria, including secure data management practices, compliance with federal regulations, and the absence of connections to adversarial governments. By sourcing technology from approved U.S. or European biotechnology companies, Taiwanese companies can enhance their market access and collaborative prospects in the U.S. biotechnology and life sciences sectors. This strategy may also foster long-term stability in partnerships and mitigate risks associated with supply chain disruptions, particularly if more companies are designated as BCCs in the future[11]. Establishing partnerships with U.S.-aligned suppliers can also provide Taiwanese companies with a competitive edge in securing government contracts and research funding, as U.S.-based entities increasingly prefer suppliers that comply with national biosecurity requirements. IV.Enforcement Mechanisms, Transition Periods, and Taiwanese Considerations The BIOSECURE Act outlines key enforcement mechanisms and transitional provisions designed to facilitate the adjustment process for companies affected by its restrictions. Specifically, Section 2(c) of the Act provides an eight-year grandfathering period for contracts established prior to the Act’s effective date involving existing BCCs, allowing these agreements to continue until January 1, 2032[12]. This provision is intended to provide companies that are dependent on BCC-supplied biotechnology ample time to transition to compliant suppliers. In addition, the Act includes a "safe harbor" provision[13], which clarifies that equipment previously produced by a BCC but now sourced from a non-BCC entity will not be restricted. This allows companies to re-source components without the risk of penalties for past procurement decisions. For Taiwanese companies, this transition period presents a critical opportunity to adapt to the new regulatory environment without facing immediate disruptions to business operations. Companies dependent on BCC technology for essential biotechnological functions can leverage the eight-year window to gradually phase out such suppliers, thereby minimizing the impact on operations while ensuring future compliance. For example, a Taiwanese company that relies on a BCC’s sequencing technology for genomic research can use this period to forge partnerships with compliant technology suppliers, thereby avoiding sudden disruptions in research or production. Additionally, the Act includes a waiver provision[14] that allows case-by-case exemptions under specific conditions, particularly when compliance is infeasible, such as in instances where critical healthcare services abroad are at risk[15]. By making strategic use of the phased enforcement and waiver provisions, Taiwanese companies can restructure their supply chains to align fully with U.S. requirements. Those that plan these transitions carefully not only ensure regulatory compliance but also enhance their appeal as resilient and trustworthy partners in the U.S. market. Exploring new collaborations with U.S.-approved biotechnology suppliers can further bolster supply chain resilience against future geopolitical or regulatory uncertainties. The transition period[16] and waiver options[17] reflect the BIOSECURE Act's balanced approach between immediate security needs and pragmatic implementation, which Taiwanese companies can capitalize on to build robust, compliant biotechnological operations. V.Conclusion The U.S. BIOSECURE Act[18] presents both significant challenges and strategic opportunities for Taiwanese biotechnology companies. The Act’s restrictions on contracts with designated BCCs and funding constraints necessitate a reassessment of technology acquisition strategies and a reinforcement of compliance practices. Taiwanese companies seeking deeper integration into U.S. and global biotechnology markets will benefit from aligning their procurement approaches with non-BCC suppliers, particularly those in the U.S. or allied countries. This proactive alignment will not only mitigate potential compliance risks but also enhance Taiwanese companies’ reputations as reliable global partners in biotechnology. The phased enforcement and waiver provisions of the BIOSECURE Act[19] provide Taiwanese companies with a clear pathway to navigate the evolving regulatory landscape, allowing them to establish stronger, more resilient supply chains that meet U.S. standards. Such alignment positions these companies as competitive players in the biotechnology sector, contributing to secure and innovative progress in an increasingly interconnected world. By actively engaging with the BIOSECURE Act’s compliance demands, Taiwanese biotechnology companies can leverage the Act's phased implementation to ensure sustained, secure access to the U.S. market and foster strategic biotechnology partnerships. Reference: [1] U.S. CONGRESS, H.R. 8333 – U.S. BIOSECURE Act (2024), https://www.congress.gov/bill/118th-congress/house-bill/8333 (last visited Nov. 1, 2024). [2] OFFICE OF THE CLERK, U.S. HOUSE OF REPRESENTATIVES, Roll Call Vote No. 402 on H.R. 8333 (Sept. 9, 2024), https://clerk.house.gov/Votes?RollCallNum=402&BillNum=H.R.8333 (last visited Nov. 1, 2024). [3] JANINE LITTLE, U.S. House Of Representatives Passes The BIOSECURE Act During “China Week”, Global Supply Chain Law Blog (Sept. 13, 2024), https://www.globalsupplychainlawblog.com/supply-chain/u-s-house-of-representatives-passes-the-biosecure-act-during-china-week/ (last visited Nov. 1, 2024). [4] SABINE NAUGÈS & SARAH L. ENGLE, BIOSECURE Act: US Target on Chinese Biotechnology Companies, NAT'L L. REV. (Sept. 13, 2024), https://natlawreview.com/article/biosecure-act-us-target-chinese-biotechnology-companies (last visited Nov. 1, 2024). [5] 10 U.S.C. § 4872(d) (2024), https://www.law.cornell.edu/uscode/text/10/4872 (last visited Nov. 1, 2024). [6] U.S. CONGRESS, H.R. 8333 – U.S. BIOSECURE Act (2024), https://www.congress.gov/bill/118th-congress/house-bill/8333 (last visited Nov. 1, 2024). [7] id. [8] id. [9] id. [10] id. [11] JANINE LITTLE, U.S. House Of Representatives Passes The BIOSECURE Act During “China Week”, Global Supply Chain Law Blog (Sept. 13, 2024), https://www.globalsupplychainlawblog.com/supply-chain/u-s-house-of-representatives-passes-the-biosecure-act-during-china-week/ (last visited Nov. 1, 2024). [12] U.S. CONGRESS, H.R. 8333 – U.S. BIOSECURE Act (2024), https://www.congress.gov/bill/118th-congress/house-bill/8333 (last visited Nov. 1, 2024). [13] id. [14] id. [15] id. [16] id. [17] id. [18] id. [19] id.
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.
The use of automated facial recognition technology and supervision mechanism in UKThe 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).
New Version of Personal Information Protection Act and Personal Information Protection & Administration SystemI.Summary In 1995, the Computer-Processed Personal Data Protection Law was implemented in the Republic of China. With the constant development of information technology and the limitations in the application of the legislation, the design of the original legal system is no longer consistent with practical requirements. Considering the increasing number of incidents of personal data leaks, discussions were carried out over a long period of time and the new version of the Personal Information Protection Act was passed after three readings in April, 2010. The title of the law was changed to Personal Information Protection Act. The new system has been officially implemented since 1 October, 2012. The new Act not only revised the provisions of the law in a comprehensive way, but also significantly increased the obligations and responsibilities of enterprises. In terms of civil liability, the maximum amount of compensation for a single incident is 200 Million NTD. For domestic industries, how to effectively respond to the requirements under the Personal Information Protection Act and adopt proper corresponding measures to lower the risk has become a key task for enterprise operation. II. Main Points 1. Implementation of the Enforcement Rules of the Personal Information Protection Act Personal information protection can be said the most concerned issue in Taiwan recently. As a matter of fact, the Computer-Processed Personal Data Protection Law was established in Taiwan as early as August 1995. After more than 10 years of development, computer and information technology has evolved significantly, and many emerging business models such as E-commerce are extensively collecting personal data. It has become increasingly important to properly protect personal privacy. However, the previous Computer-Processed Personal Data Protection Law was only applicable to certain industries, i.e. the following 8 specific industries: the credit investigation business, hospital, school, telecommunication business, financial business, securities business, insurance business, and mass media. And other business was designated by the Ministry of Justice and the central government authorities in charge of concerned enterprises. In addition, the law only protected personal information that was processed by “computer or automatic equipment”. Personal information that was not computer processed was not included. There were clearly no sufficient regulations for the protection of personal data privacy and interest. There were numerous incidents of personal data leaks. Among the top 10 consumer news issued by the Consumer Protection Committee of the Executive Yuan in 2007, “incidents of personal data leaks through E-commerce and TV shopping” was on the top of the list. This provoked the Ministry of Justice and the Ministry of Economic Affairs to “jointly designate” the retail industry without physical boutique (including 3 transaction models: online shopping, catalogue shopping and TV shopping) to be governed by the Computer-Processed Personal Data Protection Law since 1 July 2010. To allow the provisions of the personal information protection legal system to meet the environment of rapid change, the Executive Yuan proposed a Draft Amendment to the Computer-Processed Personal Data Protection Law very early and changed the title to the Personal Information Protection Act. The draft was discussed many times in the Legislative Yuan. Personal Information Protection Act was finally passed after three readings in April 2010, which was officially published by the Office of the President on 26 May. Although the new law was passed in April 2010, to allow sufficient time for enterprises and the public to understand and comply the new law, the new version of the personal information protection law was not implemented on the date of publication. In accordance with Article 56 of the Act, the date of implementation was to be further established by the Executive Yuan. After discussions over a long period of time, the Executive Yuan decided for the Personal Information Protection Act to be officially implemented on 1 October 2012. However, the implementation of two articles is withheld: Article 6 of the Act about the principal prohibition against the collection, processing and use of special personal information and Article 54 about the obligation to notice the Party within one year for personal information indirectly acquired before the implementation of the new law. In terms of the personal data protection legal system, other than the most important Personal Data Protection Act, the enforcement rules established in accordance with the main law also play a key role. The previous Enforcement Rules of the Computer-Processed Personal Data Protection Law were published and implemented on 1 May, 1996. Considering that the Computer-Processed Personal Data Protection Law was amended in 2010 and that its title has been changed to the Personal Data Protection Act, the Ministry of Justice also followed the amended provisions under the new law and actively studied the Draft Amendment to the Enforcement Rules of the Computer-Processed Personal Data Protection Act. After it was confirmed that the new version of the Personal Data Protection Act would be officially launched on 1 October 2012, the Ministry of Justice announced officially the amended enforcement rules on 26 September, 2012. The title of the enforcement rules was also amended to the Enforcement Rules of the Personal Data Protection Act. The new version of personal data protection law and enforcement rules was thus officially launched, creating a brand new era for the promotion of personal data protection in Taiwan. II. Personal Data Administration System and Information Privacy Protection Charter Before the amendment to the Personal Data Protection Act was passed, the Legislative Yuan made a proposal to the government in June 2008 to promote a privacy administration and protection certification system in Taiwan, in reference to foreign practices. In August of the following year, the Strategic Review Board of the Executive Yuan passed a resolution to promote the E-Commerce Personal Data Administration and Information Security Action Plan. In December of the same year, approval was granted for the plan to be included in the key government promotion plans from 2010 to 2013. Based on this action plan, since October 2010, the Ministry of Economic Affairs has asked the Institution for Information Industry to execute an E-Commerce Personal Data Administration System Setup Plan. Since 2012, the E-Commerce Personal Data Administration System Promotion Plan and the Taiwan Personal Information Protection and Administration System (TPIPAS) have been established and promoted, with the objective of procuring enterprises to, while complying with the personal data protection legal system, properly protect consumers’ personal information through the establishment of an internal administration mechanism and ensuring that the introducing enterprises meet the requirements of the system. The issuance of the Data Privacy Protection Mark (dp.mark) was also used as an objective benchmark for consumers to judge the enterprise’s ability to maintain privacy. Regarding the introduction of the personal data administration system, enterprises should establish a content administration mechanism step by step in accordance with the Regulations for Taiwan Personal Information Protection and Administration System. Such system also serves as the review benchmark to decide whether domestic enterprises can acquire the Data Privacy Protection Mark (dp.mark). Since domestic enterprises did not have experience in establishing internal personal data administration system in the past, starting 2011, under the Taiwan Personal Information Protection and Administration System, enterprises received assistance in the training of system professionals such as Personal Data Administrators and Personal Data Internal Appraisers. Quality personal data administrators can help enterprises establish complete internal systems. Internal appraisers play the role of confirming whether the systems established by the enterprises are consistent with the system requirements. As of 2012, there are almost 100 enterprises in Taiwan that participate in the training of system staff and a total of 426 administrators and 131 internal appraisers. In terms of the introduction of TPIPAS, in additional to the establishment and introduction of administration systems by qualified administrators, enterprises can also seek assistance from external professional consulting institutions. Under the Taiwan Personal Information Protection and Administration System, applications for registration of consulting institutions became available in 2012. Qualified system consulting institutions are published on the system website. Today 9 qualified consulting institutions have completed their registrations, providing enterprises with personal data consulting services. After an enterprise completes the establishment of its internal administration system, it may file an application for certification under the Taiwan Personal Information Protection and Administration System. The certification process includes two steps: “written review” and “site review”. After the enterprise passing certification, it is qualified to use the Data Privacy Protection Mark (dp.mark). Today 7 domestic companies have passed TPIPAS certification and acquired the dp.mark: 7net, FamiPort, books.com.tw, LOTTE, GOHAPPY, PAYEASY and Sinya Digital, reinforcing the maintenance of consumer privacy information through the introduction of personal data administration system. III. Event Analysis The Taiwan Personal Information Protection and Administration System (TPIPAS) is a professional personal data administration system established based on the provisions of the latest version of the domestic Personal Data Protection Act, in reference to the latest requirements of personal data protection by international organizations and the experience of main countries in promoting personal data administration system. In accordance with the practical requirements to protect personal data by industries, TPIPAS converted professional legal conditions into an internal personal data administration procedure to effectively assist industries to establish a complete and proper personal data administration system and to comply with the requirements of personal data legislations. With the launch of the new version of the Personal Data Protection Act, introducing TPIPAS and acquiring dp.mark are the best strategies for enterprises to lower the risk from the personal data protection law and to upgrade internal personal data administration capability.