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A Preferred Model for Taiwan’s agency level AI risk categorization and management: A Cross-Jurisdictional Perspective

A Preferred Model for Taiwan’s agency level AI risk categorization and management: A Cross-Jurisdictional Perspective

2025/09/15

Taiwan’s draft Artificial Intelligence Basic Law includes a provision allowing each government agency to establish its own risk-based AI management rules tailored to sector-specific regulatory needs[1]. To strike an effective balance between innovation and oversight, selecting an appropriate reference model is essential. After comparing major jurisdictions, this research argues that the United States Office of Management and Budget (OMB) Memorandum M-25-21—Accelerating Federal Use of AI through Innovation, Governance, and Public Trust[2]—offers the most balanced and practical approach for Taiwan’s agencies to refer to at this initial stage of developing AI regulation and promoting AI adoption.

This article will first present an overview of the U.S. M-25-21 framework and its key features. It will then explain why the U.S. model is more suitable for Taiwan than those of other jurisdictions. Finally, it will conclude with recommendations for the government.

I. Overview of the U.S. M-25-21 Framework

Issued in April 2025 under Executive Order 14179, M-25-21 directs federal agencies to accelerate the adoption of artificial intelligence while maintaining a set of minimum safeguards. The memorandum identifies three priorities—innovation, governance, and public trust—and structures AI oversight around these principles.

It requires every executive branch agency to designate a Chief AI Officer (CAIO), a senior official empowered to promote AI innovation, maintain a current inventory of AI use cases, and ensure that processes such as determining “high-impact” uses are in place. Rather than imposing a centralized management system, M-25-21 allows each agency to make context-sensitive determinations and to accept or waive risk management requirements. This approach recognizes that agencies vary widely in mission and capacity and are best positioned to understand the potential risks and benefits of AI within their own domains.

The memorandum defines high-impact AI as systems whose outputs serve as a principal basis for decisions or actions with legal, material, binding, or significant rights and safety consequences. It offers a non-exhaustive list of presumed high-impact categories, including safety-critical functions of critical infrastructure, traffic management, patient diagnosis, blocking protected speech, and law enforcement applications. If an agency official determines that a specific AI use within these categories does not meet the high-impact definition, they must submit written documentation to notify the CAIO. By tying the definition to the effect of an AI system’s output rather than to a fixed sectoral list, M-25-21 provides a flexible method for identifying high-risk AI applications while preserving room for innovation.

II. Key Features of the U.S. M-25-21 Framework

A. Minimum Risk Management Practices

To ensure protection without creating excessive barriers, M-25-21 specifies a set of minimum risk management practices that each agency must apply when using high-impact AI. Agencies are required to conduct pre-deployment testing under realistic conditions to confirm that AI systems perform as intended and to prepare appropriate risk mitigation plans. Even when agencies lack access to source code or training data, they are expected to use alternative testing methods—such as querying the AI service and observing its outputs—to assess performance and potential risks.

Before deploying a high-impact AI system, agencies must complete an AI impact assessment. This assessment must explain the system’s intended purpose and expected benefits, analyze the quality and appropriateness of the data used, and evaluate potential impacts on privacy, civil rights, and civil liberties. It should also include a cost analysis, planned reassessment schedules and procedures, and comments highlighting potential concerns or gaps from an independent reviewer who was not involved in the system’s development. Importantly, the assessment must carry the signature of an accountable official who formally accepts the risk of deploying the AI system.

Once deployed, agencies are expected to monitor AI systems continuously for performance drift, security vulnerabilities, or unforeseen adverse effects, and to implement appropriate mitigations and maintain documentation. Human oversight is equally essential: operators must receive specific training to interpret AI outputs, intervene when necessary, and use fail-safes or override mechanisms to minimize the risk of significant harm in high-impact situations.

To protect the public, M-25-21 insists that individuals affected by AI-enabled decisions have access to timely human review and opportunities to appeal adverse outcomes. Appeals should not impose unnecessary burdens on individuals or the administration. Furthermore, agencies are expected to seek feedback from end users and the public to inform AI-related decision-making. These combined practices—testing, assessment, independent review, monitoring, human oversight, remedies, and feedback—form a balanced foundation for responsible AI use. The memorandum also requires agencies to safely discontinue any high-impact use cases that fail to comply with the minimum practices.

B. Waiver System: Purpose and Conditions

A distinctive feature of M-25-21 is its formal system for waivers from the minimum risk management practices. The waiver mechanism exists to reconcile two priorities: ensuring safety and rights protections on the one hand, and enabling innovation and rapid response on the other. Waivers may be considered when following a particular requirement would actually increase risks to safety or rights overall, or when compliance would create an unacceptable impediment to critical agency operations. For example, during a natural disaster or public health emergency, strict adherence to every procedural requirement might delay the deployment of an AI application that could save lives. In such situations, the CAIO may authorize a waiver to permit rapid deployment while still tracking and reassessing the use.

Waivers for pilot programs are equally important for encouraging experimentation and innovation. They allow agencies to conduct small-scale, time-limited AI projects without implementing all minimum risk management practices, provided certain conditions are met: the pilot must be certified by the CAIO, centrally tracked, offer opt-in and opt-out options for individual participation, and apply minimum risk management practices where practicable.

The memorandum imposes safeguards on this flexibility. Every waiver must be documented with a written determination explaining the reasoning, centrally tracked, and reassessed annually or whenever significant changes to the AI application’s conditions or context occur. CAIOs retain the power to revoke waivers at any time, and agencies must report any granted or revoked waiver to OMB annually and within 30 days of significant modifications. This approach maintains accountability while preventing rigid rules from becoming obstacles to effective governance.

C. Disclosure Requirements for High-Impact Use and Waivers

M-25-21 strongly emphasizes transparency as a pillar of public trust. Each agency must maintain an inventory of all AI use cases, submit it to OMB, and post a public version on the agency’s website. This inventory should be updated annually and, ideally, throughout the year to reflect the agency’s current use of AI. Transparency ensures that the public, civil society, and oversight bodies can understand where AI is influencing important government decisions without exposing sensitive or classified details.

Similarly, agencies must publicly release summaries of each waiver or determination, including the justification, or explicitly indicate when no determinations or waivers are active. By making these summaries visible, the system builds confidence that waivers are granted for legitimate reasons. At the same time, OMB retains the authority to request detailed records concerning exception determinations within presumed high-impact categories. This combination of public disclosure and federal oversight helps maintain trust while safeguarding privacy, national security, and proprietary information.

III. Why M-25-21 Stands Out for Taiwan’s AI Governance among Global Approaches

Taiwan’s draft AI Basic Law envisions a decentralized system in which each agency determines its own risk classification and management practices[3]. The U.S. framework aligns closely with this philosophy. By empowering agencies to identify high-risk AI use cases tailored to their specific contexts, M-25-21 helps ensure that AI governance remains grounded in operational realities. At the same time, adopting M-25-21’s baseline practices, waiver safeguards, and disclosure requirements would provide consistency and public accountability across agencies. The combination of minimum risk management practices and transparent waiver use would encourage innovation while reassuring the public that any exceptions are justified, continuously monitored, and effectively controlled. Furthermore, embracing an approach that reflects emerging international consensus—particularly the emphasis on transparency in both U.S. and EU regimes—would position Taiwan to harmonize with global AI governance trends and strengthen its credibility in international markets.

In contrast, the European Union’s AI Act predefines high-risk categories and mandates strict conformity assessments, CE Marking, and post-market monitoring[4]—an approach that is comprehensive but resource-intensive and may not suit all agencies equally. Australia’s ongoing discussions had been trending toward a similarly comprehensive model, but there has recently been backlash against this approach. Korea’s AI Basic Act[5] references high-risk AI only in broad terms and leaves most operational details undefined. M-25-21 strikes a middle ground, offering minimum yet concrete safeguards while preserving the flexibility agencies need to tailor governance to their specific domains.

IV. Recommendations and Conclusion

Based on this analysis, this research recommends that each agency designate a senior AI leader similar to a CAIO, maintain a public inventory of high-impact AI use cases, and publish summaries of waivers or determinations while safeguarding sensitive information. Agencies should also be encouraged to share AI resources and lessons learned to reduce duplication and strengthen governance maturity across government. Over time, these risk management practices can be refined in response to operational experience and evolving international standards. By adopting these principles, Taiwan can empower its agencies to innovate responsibly, protect citizens’ rights, and build public trust—ensuring that AI deployment across government remains both effective and aligned with global best practices.

 

[1]〈政院通過「人工智慧基本法」草案 建構AI發展與應用良善環境 打造臺灣成為AI人工智慧島〉，行政院，https://www.ey.gov.tw/Page/9277F759E41CCD91/5d673d1e-f418-47dc-ab35-a06600f77f07（最後瀏覽日期︰2025/09/15）。

[2] United States Office of Management and Budget (OMB), M-25-21 Accelerating Federal Use of AI through Innovation, Governance, and Public Trust, https://www.whitehouse.gov/wp-content/uploads/2025/02/M-25-21-Accelerating-Federal-Use-of-AI-through-Innovation-Governance-and-Public-Trust.pdf (last visited Sept 15, 2025).

[3] 蘇文彬，〈行政院通過AI基本法草案，將不設立AI專責機關〉，iThome，https://www.ithome.com.tw/news/170874（最後瀏覽日期︰2025/09/15）。

[4] Regulation (EU) 2024/1689 of the European Parliament and of the Council of 13 June 2024 laying down harmonised rules on artificial intelligence and amending Regulations (EC) No 300/2008, (EU) No 167/2013, (EU) No 168/2013, (EU) 2018/858, (EU) 2018/1139 and (EU) 2019/2144 and Directives 2014/90/EU, (EU) 2016/797 and (EU) 2020/1828 (Artificial Intelligence Act), https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=CELEX%3A32024R1689 (last visited Sept 15, 2025).

※A Preferred Model for Taiwan’s agency level AI risk categorization and management: A Cross-Jurisdictional Perspective,STLI, https://stli.iii.org.tw/en/article-detail.aspx?no=105&tp=2&i=168&d=9402 (Date:2025/11/19)
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Reviews on Taiwan Constitutional Court's Judgment no. 13 of 2022

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.

Introduction to the “Public Procurement for Startups” mechanism

Introduction to the “Public Procurement for Startups” mechanism I.Backgrounds 　　According to the EU’s statistics, government procurement budget accounted for over 14% of GDP. And, according to the media report, the total amount of government procurement in Taiwan in 2017 accounted for nearly 8%. Therefore, the government’s procurement power has gradually become a policy tool for the government to promote the development of innovative products and services. 　　In 2017, the Executive Yuan of the R.O.C.（Taiwan）announced a government procurement policy named “Government as Good Partners with Startups （政府成為新創好夥伴）”[1] to encourage government agencies and State-owned Enterprises to procure and adopt innovative goods or services provided by startups. This policy was subsequently implemented through an action plan named “Public Procurement for Startups”（新創採購）[2] by the Small and Medium Enterprise Administration（SMEA）.The action plan mainly includes two important parts：One created the procurement process for startups to enter the government contracts market through inter-entities contracts. The other accelerated the collaboration of the government agencies and startups through empirical demonstration. II.Facilitating the procurement process for startups to enter the government market 　　In order to help startups enter the government contracts market in a more efficient way, the SMEA conducts the procurement of inter-entity supply contracts with suppliers, especially startups, for the supply of innovative goods or services. An inter-entity supply contract[3] is a special contractual framework, under which the contracting entity on behalf of two or more other contracting parties signs a contract with suppliers and formulates the specifics and price of products or services provided through the public procurement process. Through the process of calling for tenders, price competition and so on, winning tenderers will be selected and listed on the Government E-Procurement System. This framework allows those contracting entities obtain orders and acquire products or services which they need in a more efficient way so it increases government agencies’ willingness to procure and use innovative products and services. 　　From 2018, the SMEA started to undertake the survey of innovative products and services that government agencies usually needed and conducted the procurement of inter-entity supply contracts for two rounds every year. As a result, the SMEA plays an important role to bridge the demand and supply sides for innovative products or services by means of implementing the forth-mentioned survey and procurement process. Moreover, in order to explore more innovative products and services with high quality and suitable for government agencies and public institutions, the SMEA actively networked with various stakeholders, including incubators, accelerators, startups mentoring programs sponsored by private and public sectors and so on. 　　Initially the items to be procured were categorized into four themes which were named the Smart Innovations, the Smart Eco, the Smart Healthcare, and the Smart Security. Later, in order to show the diversity of the innovation of startups which response well to various social issues, from 2019, the SMEA introduced two new theme solicitations titled the Smart Education and the Smart Agriculture to the inter-entities contracts. 　　Those items included the power management systems, the AI automated recognition and image warning system, the chatbot for public service, unmanned flying vehicles, aerial photography services and so on. Take the popular AI image warning system as an example, the system is used by police officers to make instant evidence searching and image recording. Other government agencies apply the innovative system to the investigation of illegal logging and school safety surveillance. 　　Moreover, the SMEA has also offered subsidy for local governments tobuy those items provided by startups. That is the coordinated supporting measure which allows startups the equal playing field to compete with large companies. The Subsidy scheme is based on the Guideline for Subsidies on Procurement of Innovative Products and Services[3] (approved by the Executive Yuan on March 29, 2018 and revised on Feb. 20, 2021). In the Guideline, “innovative products and services” refer to the products, technologies, labor, service flows or items and services rendered with creative activities through deploying scientific or technical means and a certain degree of innovations by startups with less than five years in operation. Such innovative products and services are displayed for the inter-entity supply contractual framework administered by the SMEA for government procurement. III.Accelerating the collaboration of the government agencies and startups through empirical demonstration 　　To assist startups to prove their concepts or services, and become more familiar with the governemnrt’s needs, the SMEA also created a mechanism called the “Solving Governmental Problems by Star-up Innovation”（政府出題˙新創解題）. It plans to collect government agencies’ needs, and then solicit innovative proposals from startups. After their proposals are accepted, startups will be given a grant up to one million NT dollars to conduct empirical studies on solution with government agencies for about half a year. 　　Take the cooperation between the “Taoyuan Long Term Care Institute for Older People and the Biotech Startup” for example, a care system with sanitary aids was introduced to provide automatic detection, cleanup and dry services for the patients’discharges, thus saving 95% of cleaning time for caregivers. In the past, caregivers usually spent 4 hours on the average in inspecting old patients, cleaning and replacing their bedsheets as their busy daily routines. Inadequate caregivers makes it difficult to maintain the care quality. If the problem was not addressed immediately, it would make the life of old patients more difficult. IV.Achievements to date 　　Since the promotion of the products and services of the startups and the launch of the “Public Procurement for Startups” program in 2018, 68 startups, with the SMEA’s assistance, have entered the government procurement contracts market, and more than 100 government agencies have adopted the innovative resolutions. With the encouragement for them in adopting and utilizing the fruits of the startups, it has generated more than NT$150 million in cooperative business opportunities. V.Conclusions 　　While more and more startups are obtaining business opportunities from the favorable procurement process, constant innovation remains the key to success. As such, the SMEA has regularly visited the government agencies-buyers to obtain feedbacks from startups so as to adjust and optimize the innovative products or services. The SMEA has also regularly renewed the specifics and items of the procurement list every year to keep introducing and supplying high-quality products or services to the government agencies. Reference: [1] Policy for investment environment optimization for Startups（2017）,available athttps://www.ndc.gov.tw/nc_27_28382.（last visited on July 30, 2021 ) [2] https://www.spp.org.tw/spp/（last visited on July 30, 2021 ) [3] Article 93 of Government Procurement Act：I An entity may execute an inter-entity supply contract with a supplier for the supply of property or services that are commonly needed by entities. II The regulations for a procurement of an inter-entity supply contract, the matters specified in the tender documentation and contract, applicable entities, and the related matters shall be prescribed by the responsible entity. [4] https://law.moea.gov.tw/LawContent.aspx?id=GL000555（last visited on July 30, 2021）

The Study of Estonian Human Genes Database

I. Introduction The human genes database or human genome project, the product under the policy of biotechnology no matter in a developed or developing country, has been paid more attention by a government and an ordinary people gradually. The construction of human genes database or human genome project, which is not only related to a country’s innovation on biotechnology, but also concerns the promotion of a country’s medical quality, the construction of medical care system, and the advantages brought by the usage of bio-information stored in human genes database or from human genome project. However, even though every country has a high interest in setting up human genes database or performing human genome project, the issues concerning the purposes of related biotechnology policies, the distribution of advantages and risks and the management of bio-information, since each country has different recognition upon human genes database or human genome project and has varied standards of protecting human basic rights, there would be a totally difference upon planning biotechnology policies or forming the related systems. Right now, the countries that vigorously discuss human genes database or practice human genome project include England, Iceland, Norway, Sweden, Latvia and Estonia. Estonia, which is the country around the Baltic Sea, has planned to set up its own human genes database in order to draw attention from other advanced countries, to attract intelligent international researchers or research groups, and to be in the lead in the area of biotechnology. To sum up, the purpose of constructing Estonian human genes database was to collect the genes and health information of nearly 70% Estonia’s population and to encourage bio-research and promote medical quality. II. The Origin of Estonian Human Genes Database The construction of Estonian human genes database started from Estonian Genome Project (EGP). This project was advocated by the professor of biotechnology Andres Metspalu at Tartu University in Estonia, and he proposed the idea of setting up Estonian human genes database in 1999. The purposes of EGP not only tried to make the economy of Estonia shift from low-cost manufacturing and heavy industry to an advanced technological economy, but also attempted to draw other countries’ attention and to increase the opportunity of making international bio-researches, and then promoted the development of biotechnology and assisted in building the system of medical care in Estonia. EGP started from the agreement made between Estonian government and Eesti Geenikeskus (Estonian Genome Foundation) in March, 1999. Estonian Genome Foundation was a non-profit organization formed by Estonian scientists, doctors and politicians, and its original purposes were to support genes researches, assist in proceeding any project of biotechnology and to set up EGP. The original goals of constructing EGP were “(a) reaching a new level in health care, reduction of costs, and more effective health care, (b) improving knowledge of individuals, genotype-based risk assessment and preventive medicine, and helping the next generation, (c) increasing competitiveness of Estonia – developing infrastructure, investments into high-technology, well-paid jobs, and science intensive products and services, (d) [constructing] better management of health databases (phenotype/genotype database), (e) … [supporting]… economic development through improving gene technology that opens cooperation possibilities and creates synergy between different fields (e.g., gene technology, IT, agriculture, health care)”1. III. The Way of Constructing Estonian Human Genes Database In order to ensure that Estonian human genes database could be operated properly and reasonably in the perspectives of law, ethics and society in Estonia, the Estonian parliament followed the step of Iceland to enact “Human Genes Research Act” (HGRA) via a special legislative process to regulate its human genes database in 2000. HGRA not only authorizes the chief processor to manage Estonian human genes database, but also regulates the issues with regard to the procedure of donation, the maintenance and building of human genes database, the organization of making researches, the confidential identity of donator or patient, the discrimination of genes, and so on. Since the construction of Estonian human genes database might bring the conflicts of different points of view upon the database in Estonia, in order to “avoid fragmentation of societal solidarity and ensure public acceptability and respectability”2 , HGRA adopted international standards regulating a genes research to be a norm of maintaining and building the database. Those standards include UNESCO Universal Declaration on the Human Genome and Human Rights (1997) and the Council of Europe’s Convention on Human Rights and Biomedicine (1997). The purpose of enacting HGRA is mainly to encourage and promote genes researches in Estonia via building Estonian human genes database. By means of utilizing the bio-information stored in the database, it can generate “more exact and efficient drug development, new diagnostic tests, improved individualized treatment and determination of risks of the development of a disease in the future”3 . In order to achieve the above objectives, HGRA primarily puts emphasis on several aspects. Those aspects include providing stronger protection on confidential identity of donators or patients, caring for their privacy, ensuring their autonomy to make donations, and avoiding any possibility that discrimination may happen because of the disclosure of donators’ or patients’ genes information. 1.HERBERT GOTTWEIS & ALAN PETERSEN, BIOBANKS – GOVERNANCE IN COMPARATIVE PERSPECTIVE 59 (2008). 2.Andres Rannamae, Populations and Genetics – Legal and Socio-Ethical Perspectives, in Estonian Genome Porject – Large Scale Health Status Description and DNA Collection 18, 21 (Bartha Maria Knoppers et al. eds., 2003. 3.REMIGIUS N. NWABUEZE, BIOTECHNOLOGY AND THE CHALLENGE OF PROPERTY – PROPERTY RIGHTS IN DEAD BODIES, BODY PARTS, AND GENETIC INFORMATION, 163 (2007).

Executive Yuan Promotes Free Economic Demonstration Zone

I.Background To promote more liberal and internationalized development of Taiwan economy, Premier of Executive Yuan approved the “Free Economic Demonstration Zone Plan” on April 26, 2013. Meanwhile, an Executive Yuan Working Group on Promotion of Economic Demonstration Zone is set up to accelerate the mapping out of the promotion programs as well as detailed action plans. The first phase of the Free Economic Demonstration Zone is to be officially initiated in July. According to the “Free Economic Demonstration Zone Plan”, the relevant laws and provisions regarding the flowing of human and financial capitals, and of logistics, will be loosen up to a great degree, based on the core ideas of liberalization, internationalization, and forwardness. Other related measures such as offering of lands and taxation would also be made, in order to attract capitals from both the inside and outside of the country. In addition, the Free Economic Demonstration Zone will first develop economic activities such as intelligent computing, international medicine services, value-added agriculture and cooperation among industries, to accelerate the transformation of the industrial structure of Taiwan. In order to construe an excellent environment for business of full liberalization and internationalization, the promotion strategies will be focused on “break-through of legal frameworks and innovations of management mechanisms”. II.Content of the Plan To accelerate the promotion process, the Free Economic Demonstration Zone will be conducted in two phases. The first phase is centered on the existing free trade port areas, including five ports and one airport, incorporated with the nature of “being inside the country border but outside the tariff zone”. All the industrial parks in the near counties and cities will also be integrated. The promotion will be set out simultaneously in the north, middle and south of Taiwan. The effects of the promotion are expected to be magnified by fully utilizing the resources and the unique characters of industries of each region. Moreover, the promulgation of a special legislation on the Free Economic Demonstration Zone would be facilitated in the future. After this special legislation is passed, the set-ups of demonstration zones can be applied by authorities either of central or of local government and the related promotion works of the second phase will be unfolded immediately. According to the Executive Yuan, the Free Economic Demonstration Zone will be beneficial in terms of creating positive conditions for Taiwan to participate in regional trade organizations and attract both local and foreign investment, injecting new movement into the economic growth of Taiwan. III.Recent Development In addition, on August 8, 2013, relevant discussions on “Furtherance Plan for Free Economic Demonstration Zone Phase One” are further unfolded in the Executive Yuan conference. In addition, the Premier also indicates, that the furtherance of the Free Economic Demonstration Zone (hereafter: FEDZ) is divided into two phases. The first phase starts from the moment that the Plan is approved till the related special legislation is passed and promulgated. In this phase, the relevant tasks can be achieved through the ways of promulgation of administrative orders. On the other hand, the tasks concerning taxation benefits and other parts that involve legislation will not able to be initiated till the second phase of the Plan. For those tasks, the Council for Economic Planning and Development is asked to complete the drafting of this special legislation and related procedures for registering it into the Executive Yuan, together with the Ministry of Economic Affairs and other concerned agencies, in the hope that the related legislation works of the Executive Yuan can be completed before the end of this year. In respect of “Furtherance Plan for Free Economic Demonstration Zone Phase One”, Premier Jiang further points out, that FEDZ is a model incorporates the concept of “being inside the country border but outside the tariff zone” and the idea of “combining the stores upfront and the factories behind, outsourcing manufactures”. In this way, the hinterland of a port can be expended and magnified effects to be achieved through using the resources provided by the factory in behind. Under this pattern, the expansion effects that cities and counties such as New Taipei City and Changhua Country fight for, can be further extended by this concept of “factories in the back”. As for Port of Anping, over which Tainan City government has proactively fought for, can be listed as a demonstration zone once the Executive Yuan approved it as free trade port zone. In the future, other places that are with forward-looking industry and suitable can still be enlisted. Premier Jiang further expresses that, there are four demonstration industries in the first phase, including intelligent computing, international medicine services, value-added agriculture and cooperation among industries. Yet, he also points out that the demonstration of liberalized economy is a concept of “4+N”. It means that the demonstration will not be limited to the scope of these four industries. Other industries that match up with the idea of liberalization, internationalization and foresight can all be incorporated into FEDZ through continuing examination. Moreover, Premier Jiang later mentions on August 14th, that FEDZ is a crucial task for the government at this moment. He thus requests the Ministry of Economic Affairs, Ministry of Transportation and Communications, Ministry of Health and Welfare, and the Council of Agriculture, to enhance the training and service quality of staffers of the single service window of furtherance of FEDZ. Moreover, Premier Jiang additionally indicated in November, that the scope of the FEDZ will include Pingtung Agricultural Biotechnology Park and Kaohsiung Free Trade Port Area. The combination of the two will facilitate adding value to the agriculture in Taiwan and put momentum into quality agriculture, making the high-quality agricultural products of our country being sold to all over the world with swift logistic services. Premier Jiang also mentioned, that in order to avoid Taiwan being marginalized amid regional integrations of global economies, the government is facilitating industries of potentials by proactively promote the FEDZ. The current approach is to expend the original free trade port area with legislative bases, creating the demonstration zones of free economy by combing original establishments such as Pingtung Agricultural Biotechnology Park. If this approach and system is proved feasible, the next step would be promoting it to island-wide, making the whole nation open-up. IV.Conclusion In the past decade, the economic development in Taiwan, compared to neighboring economic zones such as Hong Kong, Korean or Singapore, was indeed stagnant. It is thus a positive move for the government to put great efforts in promoting FEDZ, in the hope that the liberalization and internationalization of the economy of this country can therefore be significantly improved. Yet, some commentators are of slightly more skeptical opinions, reminding that in terms of the tax relaxation in the Plan, similar approach was already taken by the government before, which did not lead to the expected outcome. In sum, it still remains as a continuing task for us and for the administration as well, to ponder on how Taiwan can find out its own unique strength in the face of global competition. How we can attract more international partners, to create mutual economic benefits. The FEDZ is undoubtedly a first step. Nevertheless, challenges are still ahead of the government, as to how to take many more steps in the future, in order to make Taiwan to march on the stage of the world again.

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