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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.

 

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.

[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.

 

※Hard Law or Soft Law? –Global AI Regulation Developments and Regulatory Considerations,STLI, https://stli.iii.org.tw/en/article-detail.aspx?no=105&tp=2&i=168&d=9051 (Date:2025/07/06)
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Impact of Government Organizational Reform to Research Legal System and Response Thereto (2) – Observation of the Swiss Research Innovation System

3.Commission of Technology and Innovation (CTI) 　　The CTI is also an institution dedicated to boosting innovation in Switzerland. Established in 1943, it was known as the Commission for the Promotion of Scientific Research[1]. It was initially established for the purpose of boosting economy and raising the employment rate, and renamed after 1996. The CTI and SNSF are two major entities dedicated to funding scientific research in Switzerland, and the difference between both resides in that the CTI is dedicated to funding R&D of the application technology and industrial technology helpful to Switzerland’s economic development. 　　Upon enforcement of the amended RIPA 2011, the CTI was officially independent from the Federal Office for Professional Education and Technology (OEPT) and became an independent entity entitled to making decisions and subordinated to the Federal Department of Economic Affairs (FDEA) directly[2]. The CTI is subject to the council system, consisting of 65 professional members delegated from industrial, academic and research sectors. The members assume the office as a part time job. CTI members are entitled to making decisions on funding, utilization of resources and granting of CTI Start-up Label independently[3]. 　　The CTI primarily carries out the mission including promotion of R&D of industrial technology, enhancement of the market-orientation innovation process and delivery of R&D energy into the market to boost industrial innovation. For innovation, the CTI's core mission is categorized into[4]: (1)Funding technology R&D activities with market potential 　　The CTI invests considerable funds and resources in boosting the R&D of application technology and industrial technology. The CTI R&D Project is intended to fund private enterprises (particularly small-sized and medium-sized enterprises) to engage in R&D of innovation technology or product. The enterprises may propose their innovative ideas freely, and the CTI will decide whether the funds should be granted after assessing whether the ideas are innovative and potentially marketable[5]. 　　CTI’s funding is conditioned on the industrial and academic cooperation. Therefore, the enterprises must work with at least one research institution (including a university, university of science and technology, or ETH) in the R&D. Considering that small-sized and medium-sized enterprises usually do not own enough working funds, technology and human resources to commercialize creative ideas, the CTI R&D Project is intended to resolve the problem about insufficient R&D energy and funds of small- and medium-sized enterprises by delivering the research institutions’ plentiful research energy and granting the private enterprises which work with research institutions (including university, university of science and technology, or ETH) the fund. Notably, CTI’s funding is applicable to R&D expenses only, e.g., research personnel’s salary and expenditure in equipment & materials, and allocated to the research institutions directly. Meanwhile, in order to enhance private enterprises' launch into R&D projects and make them liable for the R&D success or failure, CTI’s funding will be no more than 50% of the total R&D budget and, therefore, the enterprises are entitled to a high degree of control right in the process of R&D. 　　The industrial types which the CTI R&D Project may apply to are not limited. Any innovative ideas with commercial potential may be proposed. For the time being, the key areas funded by CTI include the life science, engineering science, Nano technology and enabling sciences, etc.[6] It intends to keep Switzerland in the lead in these areas. As of 2011, in order to mitigate the impact of drastic CHF revaluation to the industries, the CTI launched its new R&D project, the CTI Voucher[7]. Given this, the CTI is not only an entity dedicated to funding but also plays an intermediary role in the industrial and academic sectors. Enterprises may submit proposals before finding any academic research institution partner. Upon preliminary examination of the proposals, the CTI will introduce competent academic research institutions to work with the enterprises in R&D, subject to the enterprises' R&D needs. After the cooperative partner is confirmed, CTI will grant the fund amounting to no more than CHF3,500,000 per application[8], provided that the funding shall be no more than 50% of the R&D project expenditure. 　　The CTI R&D Project not only boosts innovation but also raises private enterprises’ willingness to participate in the academic and industrial cooperation, thereby narrowing the gap between the supply & demand of innovation R&D in the industrial and academic sectors. Notably, the Project has achieved remarkable effect in driving private enterprises’ investment in technology R&D. According to statistical data, in 2011, the CTI solicited additional investment of CHF1.3 from a private enterprise by investing each CHF1[9]. This is also one of the important reasons why the Swiss innovation system always acts vigorously. Table 1 　2005-2011 Passing rate of application for R&D funding Year 2011 2010 2009 2008 2007 2006 2005 Quantity of applications 590 780 637 444 493 407 522 Quantity of funded applications 293 343 319 250 277 227 251 Pass rate 56% 44% 50% 56% 56% 56% 48% Data source: Prepared by the Study (2)Guiding high-tech start-up 　　Switzerland has learnt that high-tech start-ups are critical to the creation of high-quality employment and boosting of economic growth, and start-ups were able to commercialize the R&D results. Therefore, as of 2001, Switzerland successively launched the CTI Entrepreneurship and CTI Startup to promote entrepreneurship and cultivate high-tech start-ups. 1.CTI Entrepreneurship 　　The CTI Entrepreneurship was primarily implemented by the Venture Lab founded by CTI investment. The Venture Lab launched a series of entrepreneurship promotion and training courses, covering day workshops, five-day entrepreneurship intensive courses, and entrepreneurship courses available in universities. Each training course was reviewed by experts, and the experts would provide positive advice to attendants about innovative ideas and business models. Data source: Venture Lab Site Fig. 3 　Venture Lab Startup Program 2.CTI Startup 　　The CTI is dedicated to driving the economy by virtue of innovation as its priority mission. In order to cultivate the domestic start-ups with high growth potential in Switzerland, the CTI Startup project was launched in 1996[10] in order to provide entrepreneurs with the relevant guidance services. The project selected young entrepreneurs who provided innovative ideas, and guided them in the process of business start to work their innovative ideas and incorporate competitive start-ups. 　　In order to enable the funding and resources to be utilized effectively, the CTI Startup project enrolled entrepreneurs under very strict procedure, which may be categorized into four stages[11]: Data source: CTI Startup Site Fig. 4 　Startup Plan Flow Chart 　　In the first stage, the CTI would preliminarily examine whether the applicant’s idea was innovative and whether it was technologically feasible, and help the applicant register with the CTI Startup project. Upon registration, a more concrete professional examination would be conducted at the second stage. The scope of examination included the technology, market, feasibility and management team’s competence. After that, at the stage of professional guidance, each team would be assigned a professional “entrepreneurship mentor”, who would help the team develop further and optimize the enterprise’s strategy, flow and business model in the process of business start, and provide guidance and advice on the concrete business issues encountered by the start-up. The stage of professional guidance was intended to guide start-ups to acquire the CTI Startup Label, as the CTI Startup Label was granted subject to very strict examination procedure. For example, in 2012, the CTI Startup project accepted 78 applications for entrepreneurship guidance, but finally the CTI Startup Label was granted to 27 applications only[12]. Since 1996, a total of 296 start-ups have acquired the CTI Startup Label, and more than 86% thereof are still operating now[13]. Apparently, the CTI Startup Label represents the certification for innovation and on-going development competence; therefore, it is more favored by investors at the stage of fund raising. Table 2 　Execution of start-up plans for the latest three years Quantity of application Quantity of accepted application Quantity of CTI Label granted 2012 177 78 27 2011 160 80 26 2010 141 61 24 Data source: CTI Annual Report, prepared by the Study 　　Meanwhile, the “CTI Invest” platform was established to help start-up raise funds at the very beginning to help commercialize R&D results and cross the valley in the process of R&D innovation. The platform is a private non-business-making organization, a high-tech start-up fund raising platform co-established by CTI and Swiss investors[14]. It is engaged in increasing exposure of the start-ups and contact with investors by organizing activities, in order to help the start-ups acquire investment funds. (3)Facilitating transfer of knowledge and technology between the academic sector and industrial sector 　　KTT Support (Knowledge & Technology Transfer (KTT Support) is identified as another policy instrument dedicated to boosting innovation by the CTI. It is intended to facilitate the exchange of knowledge and technology between academic research institutions and private enterprises, in order to transfer and expand the innovation energy. 　　As of 2013, the CTI has launched a brand new KTT Support project targeting at small-sized and medium-sized enterprises. The new KTT Support project consisted of three factors, including National Thematic Networks (NTNs), Innovation Mentors, and Physical and web-based platforms. Upon the CTI’s strict evaluation and consideration, a total of 8 cooperative innovation subjects were identified in 2012, namely, carbon fiber composite materials, design idea innovation, surface innovation, food study, Swiss biotechnology, wood innovation, photonics and logistics network, etc.[15] One NTN would be established per subject. The CTI would fund these NTNs to support the establishment of liaison channels and cooperative relations between academic research institutions and industries and provide small- and medium-sized enterprises in Switzerland with more rapid and easy channel to access technologies to promote the exchange of knowledge and technology between both parties. Innovation Mentors were professionals retained by the CTI, primarily responsible for evaluating the small-sized and medium-sized enterprises’ need and chance for innovation R&D and helping the enterprises solicit competent academic research partners to engage in the transfer of technology. The third factor of KTT Support, Physical and web-based platforms, is intended to help academic research institutions and private enterprises establish physical liaison channels through organization of activities and installation of network communication platforms, to enable the information about knowledge and technology transfer to be more transparent and communicable widely. 　　In conclusion, the CTI has been dedicated to enhancing the link between scientific research and the industries and urging the industrial sector to involve and boost the R&D projects with market potential. The CTI’s business lines are all equipped with corresponding policy instruments to achieve the industrial-academic cooperation target and mitigate the gap between the industry and academic sectors in the innovation chain. The various CTI policy instruments may be applied in the following manner as identified in the following figure. Data source: CTI Annual Report 2011 Fig. 5 　Application of CTI Policy Instrument to Innovation Chain III. Swiss Technology R&D Budget Management and Allocation 　　The Swiss Federal Government has invested considerable expenditures in technology R&D. According to statistic data provided by Swiss Federal Statistical Office (FSO) and OECD, the Swiss research expenditures accounted for 2.37% of the Federal Government’s total expenditures, following the U.S.A. and South Korea (see Fig. 6). Meanwhile, the research expenditures of the Swiss Government grew from CHF2.777 billion in 2000 to CHF4.639 billion in 2010, an average yearly growth rate of 5.9% (see Fig. 7). It is clear that Switzerland highly values its technology R&D. Data source: FSO and OECD Fig. 6 Percentage of Research Expenditures in Various Country Governments’ Total Expenditures (2008) Data source: FSO and OECD Fig. 7 　Swiss Government Research Expenditures 2000-2010 1.Management of Swiss Technology R&D Budget 　　Swiss research expenditures are primarily allocated to the education, R&D and innovation areas, and play an important role in the Swiss innovation system. Therefore, a large part of the Swiss research expenditures are allocated to institutions of higher education, including ETH, universities, and UASs. The Swiss research expenditures are utilized by three hierarchies[16] (see Fig. 8): Government R&D funding agencies: The Swiss research budget is primarily executed by three agencies, including SERI, Federal Department of Economic Affairs, Education and Research, and Swiss Agency for Development and Cooperation (SDC). Intermediary R&D funding agencies: Including SNSC and CTI. Funding of R&D performing institutions: Including private enterprises, institutions of higher education and private non-profit-making business, et al. 　　Therefore, the Swiss Government research expenditures may be utilized by the Federal Government directly, or assigned to intermediary agencies, which will allocate the same to the R&D performing institutions. SERI will allocate the research expenditures to institutions of higher education and also hand a lot of the expenditures over to SNSF for consolidated funding to the basic science of R&D. Data source: FSO Fig. 8 　Swiss Research Fund Utilization Mechanism ~to be continued~ [1] ORGANIZATION FOR ECONNOMIC CO-OPERATION AND DEVELOPMENT [OECD], OECD Reviews of Innovation Policy: Switzerland 27 (2006). [2] As of January 1, 2013, the Federal Ministry of Economic Affairs was reorganized, and renamed into Federal Department of Economic Affairs, Education and Research (EAER). [3] The Commission for Technology and Innovation CTI, THE COMMISSION FOR TECHOLOGY AND INNOVATION CTI, http://www.kti.admin.ch/org/00079/index.html?lang=en (last visited Jun. 3, 2013). [4] Id. [5] CTI INVEST, Swiss Venture Guide 2012 (2012), at 44, http://www.cti-invest.ch/getattachment/7f901c03-0fe6-43b5-be47-6d05b6b84133/Full-Version.aspx (last visited Jun. 4, 2013). [6] CTI, CTI Activity Report 2012 14 (2013), available at http://www.kti.admin.ch/dokumentation/00077/index.html?lang=en&download=NHzLpZeg7t,lnp6I0NTU042l2Z6ln1ad1IZn4Z2qZpnO2Yuq2Z6gpJCDen16fmym162epYbg2c_JjKbNoKSn6A-- (last visited Jun. 3, 2013). [7] CTI Voucher, THE COMMISSION FOR TECHOLOGY AND INNOVATION CTI, http://www.kti.admin.ch/projektfoerderung/00025/00135/index.html?lang=en (last visited Jun. 3, 2013). [8] Id. [9] CTI, CTI Activity Report 2011 20 (2012), available at http://www.kti.admin.ch/dokumentation/00077/index.html?lang=en&download=NHzLpZeg7t,lnp6I0NTU042l2Z6ln1ad1IZn4Z2qZpnO2Yuq2Z6gpJCDeYR,gWym162epYbg2c_JjKbNoKSn6A--(last visited Jun. 3, 2013). [10] CTI Start-up Brings Science to Market, THE COMMISSION FOR TECHOLOGY AND INNOVATION CTI, http://www.ctistartup.ch/en/about/cti-start-/cti-start-up/ (last visited Jun. 5, 2013). [11] Id. [12] Supra note 8, at 45. [13] Id. [14] CTI Invest, http://www.cti-invest.ch/About/CTI-Invest.aspx (last visited Jun. 5, 2013). [15] KTT Support, CTI, http://www.kti.admin.ch/netzwerke/index.html?lang=en (last visited Jun.5, 2013). [16] Swiss Federal Statistics Office (SFO), Public Funding of Research in Switzerland 2000–2010 (2012), available at http://www.bfs.admin.ch/bfs/portal/en/index/themen/04/22/publ.Document.163273.pdf (last visited Jun. 20, 2013).

Executive Yuan Yuan Promoted “Productivity 4.0” to Boost Global Competitiveness

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In an effort to remove the three major obstacles to innovation and entrepreneurship— discouraging laws and regulations, difficulty in raising capital and gathering financing as well as lack of international partnerships, the government has been diligently promoting the Third Party Payment Act as well as setting-up R.O.C. Rapid Innovation Prototyping League for Enterprises. Among these measures, Industry 4.0 has been at the core of the Initiative, in which cyber-physical production system (CPS) would be introduced by integrating Cloud-computing and Internet of Things technology to spur industrial transformations, specifically industrial manufacturing, added-value services and agricultural production. The Productivity 4.0 Initiative is an imperative measure in dealing with R.O.C.’s imminent issues of labor shortage, and the aging society, its promising effects are waiting to unfold. 3.Executive Yuan’s Further Addendum to “Productivity 4.0 Plan”: Attainment of Core Technologies and the Cultivation of Domestic Technical Talents In an continual effort to put in place the most integrated infrastructural setting for the flourishing of its “Productivity 4.0 Plan”, Executive Yuan Premier Mao Chi-Kuo announced on the 22nd October that the overhaul infrastructural set-up will be focused on the development of core technologies and the cultivation of skilled technical labor. To this end, the Executive Yuan is gathering participation and resources from the Ministry of Economic Affairs (hereafter MOEA), Ministry of Education, Ministry of Science and Technology, Ministry of Labor, the Council of Agriculture, among other governmental bodies, collecting experiences and knowledge from academia and researchers, in order to improve the development of pivotal technologies, the training of skilled technical labor and consequently to improve and reform the present education system so as to meet the aforementioned goals. Premier Mao Chi-Kuo pointed out that Productivity 4.0 is a production concept in which the industry is evolved from mere automation- to intelligent-based manufacturing, shifting towards a “small-volume, large-variety” production paradigm, closing the gaps between production and consumption sides through direct communication, hence allowing industry to push itself further on changing its old efficiency-based production model to an innovation-driven one. Apart from the Research and Development efforts geared towards key technologies, Premier Mao stressed that the people element, involved in this transformative process, is what dictates Productivity 4.0 Plan’s success. The cross-over or multi-disciplinary capability of the labor force is especially significant. In order to bring up the necessary work force needed for Productivity 4.0, besides raising support for the needed Research and Development, an extensive effort should be placed in reforming and upgrading the current educational system, as well as the technical labor and internal corporate educational structure. Moreover, an efficient platform should be implemented so that opinions and experiences could be pooled out, thus fostering closer ties between industry, academia and research. The MOEA stated that the fundamental premise behind the Productivity 4.0 strategy is that by way of systematic, brand-orientated formation of technical support groups, constituted by members of industry, academia and research, will we able to develop key sensor, internet and core technologies for our manufacturing, business and agriculture sector. It is estimated that by the end of year 2016, the Executive Yuan will have completed 6 major Productivity 4.0 production lines; supported the development of technical personnel in smart manufacturing, smart business and smart agriculture, amounting to 2,500 persons; established 4 inter-university, inter-disciplinary strategic partnerships in order to prepare much needed labor force for the realization of the Productivity 4.0 Plan. It is estimated that by the year 2020, industry has already developed the key technologies through the Productivity 4.0 platform, aiding to decrease by 50% the time currently needed to for Research and Development, increasing the technological sovereignty by 50% and accrue production efficiency by 15% and above. Furthermore, through the educational reforms, the nation will be able to lay solid foundations for its future labor talents, as well as connecting them to the world at large, effectively making them fit to face the global markets and to upgrade their production model.

Blockchain and General Data Protection Regulation (GDPR) compliance issues (2019)

Blockchain and General Data Protection Regulation (GDPR) compliance issues (2019) I. Brief 　　Blockchain technology can solve the problem of trust between data demanders and data providers. In other words, in a centralized mode, data demanders can only choose to believe that the centralized platform will not contain the false information. However, in the decentralized mode, data isn’t controlled by one individual group or organization[1], data demanders can directly verify information such as data source, time, and authorization on the blockchain without worrying about the correctness and authenticity of the data. 　　Take the “immutable” for example, it is conflict with the right to erase (also known as the right to be forgotten) in the GDPR.With encryption and one-time pad (OTP) technology, data subjects can make data off-chain storaged or modified at any time in a decentralized platform, so the problem that data on blockchain not meet the GDPR regulation has gradually faded away. II. What is GDPR? 　　The purpose of the EU GDPR is to protect user’s data and to prevent large-scale online platforms or large enterprises from collecting or using user’s data without their permission. Violators will be punished by the EU with up to 20 million Euros (equal to 700 million NT dollars) or 4% of the worldwide annual revenue of the prior financial year. 　　The aim is to promote free movement of personal data within the European Union, while maintaining adequate level of data protection. It is a technology-neutral law, any type of technology which is for processing personal data is applicable. 　　So problem about whether the data on blockchain fits GDPR regulation has raise. Since the blockchain is decentralized, one of the original design goals is to avoid a large amount of centralized data being abused. 　　Blockchain can be divided into permissioned blockchains and permissionless blockchains. The former can also be called “private chains” or “alliance chains” or “enterprise chains”, that means no one can join the blockchain without consent. The latter can also be called “public chains”, which means that anyone can participate on chain without obtaining consent. 　　Sometimes, private chain is not completely decentralized. The demand for the use of blockchain has developed a hybrid of two types of blockchain, called “alliance chain”, which not only maintains the privacy of the private chain, but also maintains the characteristics of public chains. The information on the alliance chain will be open and transparent, and it is in conflict with the application of GDPR. III. How to GDPR apply to blockchain ? 　　First, it should be determined whether the data on the blockchain is personal data protected by GDPR. Second, what is the relationship and respective responsibilities of the data subject, data controller, and data processor? Finally, we discuss the common technical characteristics of blockchain and how it is applicable to GDPR. 1. Data on the blockchain is personal data protected by GDPR? 　　First of all, starting from the technical characteristics of the blockchain, blockchain technology is commonly decentralized, anonymous, immutable, trackable and encrypted. The other five major characteristics are immutability, authenticity, transparency, uniqueness, and collective consensus. 　　Further, the blockchain is an open, decentralized ledger technology that can effectively verify and permanently store transactions between two parties, and can be proved. 　　It is a distributed database, all users on the chain can access to the database and the history record, also can directly verify transaction records. Each nodes use peer-to-peer transmission for upload or transfer information without third-party intermediation, which is the unique “decentralization” feature of the blockchain. 　　In addition, the node or any user on the chain has a unique and identifiable set of more than 30 alphanumeric addresses, but the user may choose to be anonymous or provide identification, which is also a feature of transparency with pseudonymity[2]; Data on blockchain is irreversibility of records. Once the transaction is recorded and updated on the chain, it is difficult to change and is permanently stored in the database, that is to say, it has the characteristics of “tamper-resistance”[3]. 　　According to Article 4 (1) of the GDPR, “personal data” means any information relating to an identified or identifiable natural person (‘data subject’); an identifiable natural person is one who can be identified, directly or indirectly, in particular by reference to an identifier such as a name, an identification number, location data, an online identifier or to one or more factors specific to the physical, physiological, genetic, mental, economic, cultural or social identity of that natural person. 　　Therefore, if data subject cannot be identified by the personal data on the blockchain, that is an anonymous data, excluding the application of GDPR. (1) What is Anonymization? 　　According to Opinion 05/2014 on Anonymization Techniques by Article 29 Data Protection Working Party of the European Union, “anonymization” is a technique applied to personal data in order to achieve irreversible de-identification[4]. 　　And it also said the “Hash function” of blockchain is a pseudonymization technology, the personal data is possible to be re-identified. Therefore it’s not an “anonymization”, the data on the blockchain may still be the personal data stipulated by the GDPR. 　　As the blockchain evolves, it will be possible to develop technologies that are not regulated by GDPR, such as part of the encryption process, which will be able to pass the court or European data protection authorities requirement of anonymization. There are also many compliance solutions which use technical in the industry, such as avoiding transaction data stored directly on the chain. 2. International data transmission 　　Furthermore, in accordance with Article 3 of the GDPR, “This Regulation applies to the processing of personal data in the context of the activities of an establishment of a controller or a processor in the Union, regardless of whether the processing takes place in the Union or not. This Regulation applies to the processing of personal data of data subjects who are in the Union by a controller or processor not established in the Union, where the processing activities are related to: (a) the offering of goods or services, irrespective of whether a payment of the data subject is required, to such data subjects in the Union; or (b) the monitoring of their behaviour as far as their behaviour takes place within the Union”.[5] 　　In other words, GDPR applies only when the data on the blockchain is not anonymized, and involves the processing of personal data of EU citizens. 3. Identification of data controllers and data processors 　　Therefore, if the encryption technology involves the public storage of EU citizens' personal data and passes it to a third-party controller, it may be identified as the “data controller” under Article 4 of GDPR, and all nodes and miners of the platform may be deemed as the “co-controller” of the data, and be assumed joint responsibility with the data controller by GDPR. For example, the parties can claim the right to delete data from the data controller. 　　In addition, a blockchain operator may be identified as a “processor”, for example, Backend as a Service (BaaS) products, the third parties provide network infrastructure for users, and let users manage and store personal data. Such Cloud Services Companies provide online services on behalf of customers, do not act as “data controllers”. Some commentators believe that in the case of private chains or alliance chains, such as land records transmission, inter-bank customer information sharing, etc., compared to public chain applications: such as cryptocurrencies (Bitcoin for example), is not completely decentralized, and more likely to meet GDPR requirements[6]. For example, in the case of a private chain or alliance chain, it is a closed platform, which contains only a small number of trusted nodes, is more effective in complying with the GDPR rules. 4. Data subject claims 　　In accordance with Article 17 of the GDPR, The data subject shall have the right to obtain from the controller the erasure of personal data concerning him or her without undue delay and the controller shall have the obligation to erase personal data without undue delay under some grounds. 　　Off-chain storage technology can help the blockchain industry comply with GDPR rules, allowing offline storage of personal data, or allow trusted nodes to delete the private key of encrypted information, which leaving data that cannot be read and identified on the chain. If the data is in accordance with the definition of anonymization by GDPR, there is no room for GDPR to be applied. IV. Conclusion 　　In summary, it’s seem that the application of blockchain to GDPR may include: (a) being difficulty to identified the data controllers and data processors after the data subject upload their data. (b) the nature of decentralized storage is transnational storage, and Whether the country where the node is located, is meets the “adequacy decision” of Article 45 of the GDPR. 　　If it cannot be met, then it needs to consider whether it conforms to the transfers subject to appropriate safeguards of Article 46, or the derogations for specific situations of Article 49 of the GDPR. Reference: [1] How to Trade Cryptocurrency: A Guide for (Future) Millionaires, https://wikijob.com/trading/cryptocurrency/how-to-trade-cryptocurrency [2] DONNA K. HAMMAKER, HEALTH RECORDS AND THE LAW 392 (5TH ED. 2018). [3] Iansiti, Marco, and Karim R. Lakhani, The Truth about Blockchain, Harvard Business Review 95, no. 1 (January-February 2017): 118-125, available at https://hbr.org/2017/01/the-truth-about-blockchain [4] Article 29 Data Protection Working Party, Opinion 05/2014 on Anonymisation Techniques (2014), https://www.pdpjournals.com/docs/88197.pdf [5] Directive 95/46/EC (General Data Protection Regulation), https://eur-lex.europa.eu/legal-content/EN/TXT/HTML/?uri=CELEX:32016R0679&from=EN [6] Queen Mary University of London, Are blockchains compatible with data privacy law? https://www.qmul.ac.uk/media/news/2018/hss/are-blockchains-compatible-with-data-privacy-law.html

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).

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