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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 to buy 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.

 

 

[1] Policy for investment environment optimization for Startups（2017）,available at https://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）

 

 

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※Introduction to the “Public Procurement for Startups” mechanism,STLI, https://stli.iii.org.tw/en/article-detail.aspx?no=86&tp=2&i=168&d=8730 (Date:2024/05/09)
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Lee, Ruei-Yu
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Release： 2021/10
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Research on Taiwan’s Policies of Innovative Industry Development in Recent Years (2015-2016)

Research on Taiwan’s Policies of Innovative Industry Development in Recent Years (2015-2016) 1. “Five plus Two” Innovative Industries Policy 　　On June 15, 2016, Premier Lin Chuan met with a group of prominent business leaders to talk about a government project on five innovative industries, which aim to drive the next generation of businesses in R.O.C.. Subsequently the program was expanded to include “new agriculture” and the “circular economy” as the “+2.” The program was then broadened even further to include the Digital Economy and Cultural Innovation, with even Semiconductors and IC Design included, although the name of the policy remains 5+2. Speaking at the Third Wednesday Club in Taipei, Premier Lin said the industries require more investment to drive the next generation of industry growth momentum in R.O.C., create high-quality jobs, and upgrade the industrial competitiveness. Executive Yuan has selected the five innovative industries of Asia Silicon Valley, smart machinery, green energy, biotech & pharmaceutical industry, and national defense, which will be the core for pushing forward the next-generation industrial growth and improve overall environment by creating a cluster effect that links local and global industries, while simultaneously raising wages and stimulating employment. 　　Premier Lin said, regarding industrial competitiveness and investment issues the lackluster economy has stifled investment opportunities, and with limited government budgets, the private sector must play the larger role in investments. Regarding the “Five major Innovative Industries” project, Premier Lin said the National Development Council is currently drafting long-term plan to attract talent, create a thriving working environment, and infuse companies with more innovation, entrepreneurship and young workers. In addition, R.O.C. must also cultivate a strong software industry, without which it would be difficult to build a highly intelligent infrastructure. 　　The National Development Council said the program possess both the capacity of domestic demand and local characteristics, as the core for pushing forward the next-generation industrial growth. The government aims to promote a seamless synergy of investment, technology, and the talent, in order to develop innovative industrial clusters for furthering global linkage and nurturing international enterprises. In the meantime, the government also aims at achieving the enhancement of technology levels, balanced regional development, as well as realizing the benefits of job creation. 2. The Asia Silicon Valley Development Plan 　　In September 2016 the government approved the Asia Silicon Valley Development Plan, which connect Taiwan to global tech clusters and create new industries for the next generation. 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The second is to improve intelligentization by means of introducing the intelligent machinery into the industries. 　　The execution policy of the Intelligent Machinery Promotion Program is to integrate the intelligent functions such as malfunctions predictions, accuracy compensation, and automatic parameter setting into the machinery industry so as to have the ability to render the whole solutions to the problem. Simultaneously, the program employs three strategies, which are connecting with the local industries, connecting with the future, and connecting with the world, to develop the mentioned vision and objectives. Especially, the way to execute the strategy of connecting with the local industries consists of integrating the capabilities of industry, research organization and the government. At the meantime, the government will encourage the applications of smart vehicles and unmanned aerial vehicles and train the talents as well. The thinking of connecting with the future lies in the goal of deepening the technologies, establishing systematic solutions, and providing a testing areas, which focus on the related applications such as aerospace, advanced semiconductor, smart transportation, green vehicles, energy industry, whole solutions between factories, intelligent man-machine coordination, and robots of machine vision combined with intelligent machinery applications. The government would strengthen the cross-cutting cooperation to develop machines for aerospace and integrate the system of industrial division to form a cluster in order to create Taiwanese IoT technology. Eventually, Taiwan will be able to connect with the world, enhance international cooperation, expand export trade and push industry moving toward the age of information and digital economy and break the edge of industry technology to make the industry feel the goodwill of the government. 4. Green energy innovations 　　The government’s “five plus two” innovative industries program includes a green energy industrial innovation plan passed October 27, 2016 that will focus on Taiwan’s green needs, spur extensive investments from within and outside the country, and increase quality employment opportunities while supporting the growth of green energy technologies and businesses. 　　The government is developing the Shalun Green Energy Science City. The hub’s core in Shalun will house a green energy technology research center as well as a demo site, providing facilities to develop research and development (R&D) capabilities and conduct the requisite certification and demonstration procedures. 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DIGITAL NATION AND INNOVATIVE ECONOMIC DEVELOPMENT PLAN 　　 On November 24, 2016, the Executive Yuan promote the Digital Nation and Innovative Economic Development Plan (2017-2025) (DIGI+ program), the plan’s main goals for 2025 are to grow R.O.C.’s digital economy to NT $ 6.5 trillion (US$205.9 billion), increase the digital lifestyle services penetration rate to 80 percent, speed up broadband connections to 2 Gbps, ensure citizens’ basic rights to have 25 Mbps broadband access, and put R.O.C. among the top 10 information technology nations worldwide. 　　 In addition to the industrial economy, the program can jump off bottlenecks in the past industrial development, and promote the current Internet of things, intelligent machinery, green energy, medical care and other key national industries, but also attaches great importance to strengthening the digital infrastructure construction, the development of equal active, as well as the creation of a service-oriented digital government. It is also hoped that through the construction of a sustainable and intelligent urban and rural area, the quality of life will be improved and the people will enjoy a wealthy and healthy life. Over the next 8 years, the government will spend more than NT $ 150 billion. 　　The plan contains several important development strategies: DIGI+Infrastructure: Build infrastructure conducive to digital innovation. DIGI+Talent: Cultivate digital innovation talent. DIGI+Industry: Support cross-industry transformation through digital innovation. DIGI+Rights: Make R.O.C. an advanced society that respects digital rights and supports open online communities. DIGI+Cities: Build smart cities through cooperation among central and local governments and the industrial, academic and research sectors. 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These policies including promoting environmentally friendly farming practices; giving farmers that are beneficial(green) to the land payments; stabilizing farmers’ incomes; increasing the competitiveness of the livestock and poultry industries; using agricultural resources sustainably; ensuring the safety of agricultural products; developing technological innovation; leveling up food security; increasing diversification of domestic and external marketing channels; and increasing agriculture industry added value. 　　 In this statutes report, Council of Agriculture said this project will accelerate reforms, create new agricultural models and safety systems, but also build a new sustainable paradigm of agricultural. Premier Lin Chuan also backed this “five plus two innovative industries” program and “new agriculture” project, and asked Council of Agriculture to reviewing the possible legal changes or amendment that may help to enhance the transformation of agricultural sector.

The Tax Benefit of “Act for Establishment and Administration of Science Parks” and the Relational Norms for Innovation

The Tax Benefit of “Act for Establishment and Administration of Science Parks” and the Relational Norms for Innovation 　　“Act for Establishment and Administration of Science Parks” was promulgated in 1979, and was amended entirely in May 15, 2018, announced in June 6. The title was revised from “Act for Establishment and Administration of Science ‘Industrial’ Parks” to “Act for Establishment and Administration of Science Parks” (it would be called “the Act” in this article). It was a significant transition from traditional manufacture into technological innovation. 　　For encouraging different innovative technology enter into the science park, there is tax benefit in the Act. When the park enterprises import machines, equipment, material and so on from foreign country, the import duties, commodity tax, and business tax shall be exempted; moreover, when the park enterprises export products and services, it will have given favorable business and commodity tax free.[1] Furthermore, the park bureaus also exempt collection of land rent.[2] If they have approval for importing or exporting products, they do not need to apply for permission.[3] In the sub-law, there is also regulations of bonding operation.[4] To sum up, for applying the benefit of the act, enterprises approved for establishment in science parks still require to manufacture products. Such regulations are confined to industrial industry. Innovative companies dedicate in software, big data, or customer service, rarely gain benefits from taxation. 　　In other norms,[5] there are also tax deduction or exemption for developing innovative industries. Based on promoting innovation, the enterprises following the laws of environmental protection, laborers’ safety, food safety and sanitation,[6] or investing in brand-new smart machines for their own utilize,[7] or licensing their intellectual property rights,[8] can deduct from its taxable income. In addition, the research creators from academic or research institutions,[9] or employee,[10] can declare deferral of the income tax payable for the shares distributed. In order to assist new invested innovative enterprises,[11] there are also relational benefit of tax. For upgrading the biotech and new pharmaceuticals enterprises, when they invest in human resource training, research and development, they can have deductible corporate income tax payable.[12] There is also tax favored benefits for small and medium enterprises in using of land, experiment of research, technology stocks, retaining of surplus, and additional employees hiring.[13] The present norms of tax are not only limiting in space or products but also encouraging in “research”. In other word, in each steps of the research of innovation, the enterprises still need to manufacture products from their own technology, fund and human resources. If the government could encourage open innovation with favored taxation, it would strengthen the capability of research and development for innovative enterprises. 　　Supporting the innovation by taxation, the government can achieve the goal of scientific development more quickly and encourage them accepting guidance. “New York State Business Incubator and Innovation Hot Spot Support Act” can be an example, [14]the innovative enterprises accepting the guidance from incubators will have the benefit of tax on “personal income”, “sales and use” and “corporation franchise”. Moreover, focusing on key industries and exemplary cases, there are also the norms of tax exemption and tax abatement in China for promoting the development of technology.[15]The benefit of tax is not only in research but also in “the process of research”. 　　To sum up, the government of Taiwan provides the benefit of tax for advancing the competition of outcomes in market, and for propelling the development of innovation. In order to accelerate the efficiency of scientific research, the government could draw lessons from America and China for enacting the norms about the benefit of tax and the constitution of guidance. [1] The Act §23. [2] Id. §24. [3] Id. §25. [4] Regulations Governing the Bonding Operations in Science Parks. [5] Such as Act for Development of Small and Medium Enterprises, Statute for Industrial Innovation, Act for the Development of Biotech and New Pharmaceuticals Industry. [6] Statute for Industrial Innovation §10. [7] Id. §10-1. [8] Id. §12-1. [9] Id. §12-2. [10] Id. §19-1. [11] Id. §23-1, §23-2, §23-3. [12] Act for the Development of Biotech and New Pharmaceuticals Industry §5, §6, §7. [13] Act for Development of Small and Medium Enterprises Chapter 4: §33 to §36-3. [14] New York State Department of Taxation and Finance Taxpayer Guidance Division, New York State Business Incubator and Innovation Hot Spot Support Act, Technical Memorandum TSB-M-14(1)C, (1)I, (2)S, at 1-6 (March 7, 2014), URL：http://www.wnyincubators.com/content/Innovation%20Hot%20Spot%20Technical%20Memorandum.pdf (last visited：December 18, 2019). [15] Enterprise Income Tax Law of the People’s Republic of China Chapter 4 “Preferential Tax Treatments”: §25 to §36 (2008 revised).

Innovative Practice of Israel's Government Procurement

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Hard Law or Soft Law? –Global AI Regulation Developments and Regulatory Considerations

Hard 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. [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.

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