Executive Yuan’s call to action:“Industrial Upgrading and Transformation Action Plan”
I.Introduction
Having sustained the negative repercussions following the global financial crisis of 2008, Taiwan’s average economic growth rate decreased from 4.4 percent (during 2000-2007 years) to 3 percent (2008-2012). This phenomenon highlighted the intrinsic problems the Taiwanese economic growth paradigm was facing, seen from the perspective of its development momentum and industrial framework: sluggish growth of the manufacturing industries and the weakening productivity of the service sector. Moreover, the bleak investment climate of the post-2008 era discouraged domestic investors injecting capital into the local economy, rendering a prolonged negative investment growth rate. To further exacerbation, the European Debt Crisis of 2011 – 2012 has impacted to such detriment of private investors and enterprises, that confidence and willingness to invest in the private sector were utterly disfavored.
It can be observed that as Taiwan’s industrial core strength is largely concentrated within the the manufacturing sector, the service sector, on the other hand, dwindles. Similarly, the country’s manufacturing efforts have been largely centered upon the Information & Communications Technology (ICT) industry, where the norm of production has been the fulfillment of international orders in components manufacturing and Original Equipment Manufacturing (OEM). Additionally, the raising-up of society’s ecological awareness has further halted the development of the upstream petrochemical and metal industry. Consumer goods manufacturing growth impetus too has been stagnated.
Against the backdrop of the aforementioned factors at play as well as the competitive pressure exerted on Taiwan by force of the rapid global and regional economic integration developments, plans to upgrade and transform the existing industrial framework, consequently, arises out as an necessary course of action by the state. Accordingly, Taiwan’s Executive Yuan approved and launched the “Industrial Upgrading and Transformation Action Plan”, on the 13th of October 2014, aiming to reform traditional industries, reinforcing core manufacturing capacities and fostering innovative enterprises, through the implementation of four principal strategies: Upgrading of Product Grade and Value, Establishment of Complete Supply Chain, Setting-up of System Integration Solutions Capability, Acceleration of Growth in the Innovative Sector.
II.Current challenges confronting Taiwanese industries
1.Effective apportionment of industrial development funds
Despite that Research and Development (R&D) funds takes up 3.02% of Taiwan’s national GDP, there has been a decrease of the country’s investment in industrial and technology research. Currently Taiwan’s research efforts have been directed mostly into manufacturing process improvement, as well as into the high-tech sector, however, traditional and service industries on the other hand are lacking in investments.
If research funds for the last decade could be more efficiently distributed, enterprises would be equally encouraged to likewise invest in innovation research. However, it should be noted that Taiwan’s Small and Medium Enterprises (SME) based on their traditional developmental models, do not place research as their top priority. Unlike practices in countries such as Germany and Korea, the research fund input by private enterprises into academic and research institutions is still a relatively unfamiliar exercise in Taiwan.
With regards to investment focus, the over-concentration in ICTs should be redirected to accommodate growth possibilities for other industries as well. It has been observed that research investments in the pharmaceutical and electric equipment manufacturing sector has increased, yet in order to not fall into the race-to-the-bottom trap for lowest of costs, enterprises should be continually encouraged to develop high-quality and innovative products and services that would stand out.
2.Human talent and labor force issues
Taiwan’s labor force, age 15 to 64, will have reached its peak in 2015, after which will slowly decline. It has been estimated that in 2011 the working population would amount to a meager 55.8%. If by mathematical deduction, based on an annual growth rate of 3%, 4% and 5%, in the year 2020 the labor scarcity would increase from 379,000, 580,000 to 780,000 accordingly. Therefore, it is crucial that productivity must increase, otherwise labor shortage of the future will inevitably stagnate economic growth.
Notwithstanding that Taiwan’s demographical changes have lead to a decrease in labor force; the unfavorable working conditions so far has induced skilled professionals to seek employment abroad. The aging society along with decrease in birth rates has further exacerbated the existing cul-de-sac in securing a robust workforce. In 1995 the employment rate under the age of 34 was 46.35%, yet in 2010 it dropped to a daunting 37.6%.
3.Proportional land-use and environmental concerns
Taiwan’s Environmental Impact Assessment (EIA) is a time-consuming and often unpredictable process that has substantially deterred investor’s confidence. Additionally, there exists a disproportionate use of land resources in Taiwan, given that demand for its use predominantly stems from the northern and middle region of the country. Should the government choose to balance out the utilization of land resources across Taiwan through labor and tax policies, the situation may be corrected accordingly.
III.Industrial Upgrading and Transformation Strategies
The current action plan commences its implementation from October 2014 to end of December 2024. The expected industrial development outcomes are as follows: (1) Total output value of the manufacturing sector starting from 2013 at NTD 13.93 trillion is expected to grow in 2020 to NTD 19.46 trillion. (2) Total GDP of the service sector, starting at 3.03 trillion from 2011 is expected to grow in 2020 to 4.75 trillion NTD.
1.Strategy No.1 : Upgrading of product grade and value
Given that Taiwan’s manufacturing industry’s rate for added value has been declining year after year, the industry should strive to evolve itself to be more qualitative and value-added oriented, starting from the development of high-end products, including accordingly high-value research efforts in harnessing essential technologies, in the metallic materials, screws and nuts manufacturing sector, aviation, petrochemical, textile and food industries etc.
(1) Furtherance of quality research
Through the employment of Technology Development Program (TDP) Organizations, Industrial TDP and Academic TDP, theme-based and pro-active Research and Development programs, along with other related secondary assistance measures, the industrial research capability will be expanded. The key is in targeting research in high-end products so that critical technology can be reaped as a result.
(2) Facilitating the formation of research alliances with upper-, mid- and downstream enterprises
Through the formation of research and development alliances, the localization of material and equipment supply is secured; hence resulting in national autonomy in production capacity. Furthermore, supply chain between industrial component makers and end-product manufacturers are to be conjoined and maintained. National enterprises too are to be pushed forth towards industrial research development, materializing the technical evolution of mid- and downstream industries.
(3) Integrative development assistance in Testing and Certification
The government will support integrative development in testing and certification, in an effort to boost national competitive advantage thorough benefitting from industrial clusters as well as strengthening value-added logistics services, including collaboration in related value-added services.
(4) Establishment of international logistics centre
Projection of high-value product and industrial cluster image, through the establishment of an international logistics centre.
2.Strategy No.2 : Establishment of a Complete Supply Chain
The establishing a robust and comprehensive supply chain is has at its aim transforming national production capabilities to be sovereign and self-sustaining, without having to resort to intervention of foreign corporations. This is attained through the securing of key materials, components and equipments manufacturing capabilities. This strategy finds its application in the field of machine tool controllers, flat panel display materials, semiconductor devices (3D1C), high-end applications processor AP, solar cell materials, special alloys for the aviation industry, panel equipment, electric vehicle motors, power batteries, bicycle electronic speed controller (ESC), electrical silicon steel, robotics, etc. The main measures listed are as follows:
(1) Review of industry gaps
After comprehensive review of existing technology gaps depicted by industry, research and academic institutions, government, strategies are to be devised, so that foreign technology can be introduced, such as by way of cooperative ventures, in order to promote domestic autonomous development models.
(2) Coordination of Research and Development unions – building-up of autonomous supply chain. Integrating mid- and downstream research and development unions in order to set up a uniform standard in equipment, components and materials in its functional specifications.
(3) Application-theme-based research programs
Through the release of public notice, industries are invited to submit research proposals focusing on specific areas, so that businesses are aided in developing their own research capabilities in core technologies and products.
(4) Promotion of cross-industry cooperation to expand fields of mutual application
Continuously expanding field of technical application and facilitating cross-industry cooperation; Taking advantage of international platform to induce cross-border technical collaboration.
3.Strategy No.3 : Setting-up of System Integration Solutions capability
Expanding turnkey-factory and turnkey-project system integration capabilities, in order to increase and stimulate export growth; Combination of smart automation systems to strengthen hardware and software integration, hence, boosting system integration solution capacity, allowing stand-alone machinery to evolve into a total solution plant, thus creating additional fields of application and services, effectively expanding the value-chain. These type of transitions are to be seen in the following areas: turnkey-factory and turnkey-project exports, intelligent automated manufacturing, cloud industry, lifestyle (key example: U-Bike in Taipei City) industry, solar factory, wood-working machinery, machine tools, food/paper mills, rubber and plastic machines sector. Specific implementation measure s includes:
(1) Listing of national export capability – using domestic market as test bed for future global business opportunities
Overall listing of all national system integration capabilities and gaps and further assistance in building domestic “test beds” for system integration projects, so that in the future system-integration solutions can be exported abroad, especially to the emerging economies (including ASEAN, Mainland China) where business opportunities should be fully explored. The current action plan should simultaneously assist these national enterprises in their marketing efforts.
(2) Formation of System Integration business alliances and Strengthening of export capability through creation of flagship team Formation of system integration business alliances, through the use of national equipment and technology, with an aim to comply with global market’s needs. Promotion of export of turnkey-factory and turnkey-projects, in order to make an entrance to the global high-value system integration market. Bolstering of international exchanges, allowing European and Asian banking experts assist Taiwanese enterprises in enhancing bids efforts.
(3) Establishing of financial assistance schemes to help national enterprises in their overseas bidding efforts
Cooperation with financial institutes creating financial support schemes in syndicated loans for overseas bidding, in order to assist national businesses in exporting their turnkey-factories and turnkey-solutions abroad.
4. Strategy No.4 : Acceleration of growth in the innovative sectors
Given Taiwan economy’s over-dependence on the growth of the electronics industry, a new mainstream industry replacement should be developed. Moreover, the blur distinction between the manufacturing, service and other industries, presses Taiwan to develop cross-fields of application markets, so that the market opportunities of the future can be fully explored. Examples of these markets include: Smart Campus, Intelligent Transportation System, Smart Health, Smart City, B4G/5G Communications, Strategic Service Industries, Next-Generation Semiconductors, Next-Generation Visual Display, 3D Printing, New Drugs and Medical Instruments, Smart Entertainment, Lifestyle industry (for instance the combination of plan factory and leisure tourism), offshore wind power plant, digital content (including digital learning), deep sea water. Concrete measures include:
(1) Promotion of cooperation between enterprises and research institutions to increase efficiency in the functioning of the national innovation process
Fostering of Industry-academic cooperation, combining pioneering academic research results with efficient production capability; Cultivation of key technology, accumulation of core intellectual property, strengthening integration of industrial technology and its market application, as well as, establishment of circulation integration platform and operational model for intellectual property.
(2) Creating the ideal Ecosystem for innovation industries
Strategic planning of demo site, constructing an ideal habitat for the flourishing of innovation industries, as well as the inland solution capability. Promotion of international-level testing environment, helping domestic industries to be integrated with overseas markets and urging the development of new business models through open competition. Encouraging international cooperation efforts, connecting domestic technological innovation capacities with industries abroad.
(3) Integration of Cross-Branch Advisory Resources and Deregulation to further support Industrial Development
Cross-administrations consultations further deregulation to support an ideal industrial development environment and overcoming traditional cross-branch developmental limitations in an effort to develop innovation industries.
IV. Conclusion
Taiwan is currently at a pivotal stage in upgrading its industry, the role of the government will be clearly evidenced by its efforts in promoting cross-branch/cross-fields cooperation, establishing a industrial-academic cooperation platform. Simultaneously, the implementation of land, human resources, fiscal, financial and environmental policies will be adopted to further improve the investment ambient, so that Taiwan’s businesses, research institutions and the government could all come together, endeavoring to help Taiwan breakthrough its currently economic impasse through a thorough industrial upgrading.
Moreover, it can be argued that the real essence of the present action plan lies in the urge to transform Taiwan’s traditional industries into incubation centers for innovative products and services. With the rapid evolution of ICTs, accelerating development and popular use of Big Data and the Internet of Things, traditional industries can no longer afford to overlook its relation with these technologies and the emerging industries that are backed by them. It is only through the close and intimate interconnection between these two industries that Taiwan’s economy would eventually get the opportunity to discard its outdated growth model based on “quantity” and “cost”. It is believed that the aforementioned interaction is an imperative that would allow Taiwanese industries to redefine its own value amidst fierce global market competition. The principal efforts by the Taiwanese government are in nurturing such a dialogue to occur with the necessary platform, as well as financial and human resources. An illustration of the aforementioned vision can be seen from the “Industrie 4.0” project lead by Germany – the development of intelligent manufacturing, through close government, business and academic cooperation, combining the internet of things development, creating promising business opportunities of the Smart Manufacturing and Services market. This is the direction that Taiwan should be leading itself too.
References
1.Executive Yuan, Republic of China
http://www.ey.gov.tw/en/（last visited: 2015.02.06）
2.Industrial Development Bureau, Ministry of Economic Affairs
http://www.moeaidb.gov.tw/（last visited: 2015.02.06）
3.Industrial Upgrading and Transformation Action Plan
http://www.moeaidb.gov.tw/external/ctlr?PRO=filepath.DownloadFile&f=policy&t=f&id=4024（last visited: 2015.02.06）
Draft of AI Product and System Evaluation Guidelines Released by the Administration for Digital Industries to Enhance AI Governance 2024/08/15 I. AI Taiwan Action Plan 2.0 In 2018, the Executive Yuan launched the “AI Taiwan Action Plan” to ensure that the country keeps pace with AI developments. This strategic initiative focuses on attracting top talent, advancing research and development, and integrating AI into critical sectors such as smart manufacturing and healthcare. The action plan has sparked growing discussion on AI regulation. Through these efforts, Taiwan aims to position itself as a frontrunner in the global smart technology landscape. Later in 2023, the Executive Yuan updated the action plan, releasing “AI Taiwan Action Plan 2.0” to further strengthen AI development. “AI Taiwan Action Plan 2.0” outlines five main pillars: 1. Talent Development: Enhancing the quality and quantity of AI expertise, while improving public AI literacy through targeted education and training initiatives. 2. Technological and Industrial Advancement: Focusing on critical AI technologies and applications to foster industrial growth; and creating the Trustworthy AI Dialogue Engine (TAIDE) that communicates in Traditional Chinese. 3. Enhancing work environments: Establishing robust AI governance infrastructure to facilitate industry and governmental regulation, and to foster compliance with international standards. 4. International Collaboration: Expanding Taiwan's role in international AI forums, such as the Global Partnership on AI, to collaborate on developing trustworthy AI practices. 5. Societal and Humanitarian Engagement: Utilizing AI to tackle pressing societal challenges such as labor shortages, an aging population, and environmental sustainability. II. AI Product and System Evaluation Guidelines: A Risk-based Approach to AI Governance To support infrastructure, in March 2024, the Administration for Digital Industries issued the draft AI Product and System Evaluation Guidelines. The Guidelines are intended to serve as a reference for industry when developing and using AI products and systems, thus laying a crucial foundation for advancing AI-related policies in Taiwan. The Guidelines outline several potential risks associated with AI: 1. Third-Party Software and Hardware: While third-party software, hardware, and datasets can accelerate development, they may also introduce risks into AI products and systems. Therefore, effective risk management policies are crucial. 2. System Transparency: The lack of transparency in AI products and systems makes risk assessment relatively challenging. Inadequate transparency in AI models and datasets also pose risks for development and deployment. 3. Differences in Risk Perception: Developers of AI products and systems may overlook risks specific to different application scenarios. Moreover, risks may gradually emerge as the product or system is used and trained over time. 4. Application Domain Risks: Variations between testing results and actual operational performance can lead to differing risk assessments for evaluated products and systems. 5. Deviation from Human Behavioral Norms: If AI products and systems behave unexpectedly compared to human operations, this can indicate a drift in the product, system, or model, thereby introducing risks. The Guidelines also specify that businesses have to categorize risks when developing or using AI products and systems, and manage them in accordance with these classifications. In alignment with the EU AI Act, risks are classified into four levels: unacceptable, high, limited, and minimal. 1. Unacceptable Risk: If AI systems used by public or private entities provide social scoring of individuals, this could lead to discriminatory outcomes and the exclusion of certain groups. Furthermore, if AI systems are employed to manipulate the cognitive behavior of individuals or vulnerable populations, causing physical or psychological harm, such systems are deemed unacceptable and prohibited. 2. High risk: AI systems are classified as high-risk in several situations. These include applications used in critical infrastructure, such as transportation, where there is potential risk to citizens' safety and health. These situations also encompass AI systems involved in educational or vocational training (such as exam scoring), which can determine access to education or professional paths. AI used as safety-critical product components, such as robot-assisted surgery, also falls into this category. In the employment sector, AI systems used for managing recruitment processes, including CV-sorting software, are considered high-risk. Essential private and public services, such as credit scoring systems that impact loan eligibility, also fall under high-risk. AI used in law enforcement in ways that it may affect fundamental rights, such as evaluating the reliability of evidence, is also included. AI systems involved in migration, asylum, and border control, such as automated visa application examinations, are categorized as high-risk. Finally, AI solutions used in the administration of justice and democratic processes, such as court ruling searches, are also classified as high-risk. If an AI system is classified as high risk, it must be evaluated across ten criteria—Safety, Explainability, Resilience, Fairness, Accuracy, Transparency, Accountability, Reliability, Privacy, and Security—to ensure the AI system’s quality. 3. Limited risk: When an AI product or system is classified as having limited risk, it is up to the enterprise to determine whether an evaluation is required. The Guidelines also introduce specific transparency obligations to ensure that humans are informed when necessary, thus fostering trust. For instance, when using AI systems such as chatbots or systems for generating deepfake content, humans must be made aware that they are interacting with a machine so they can take an informed decision to continue or step back. 4. Minimal or no risk: The Guidelines allow the free use of minimal-risk AI. This includes applications such as AI-enabled video games and spam filters. Ⅲ. Conclusion The AI Product and System Evaluation Guidelines represent a significant step forward in establishing a robust, risk-based framework for AI governance in Taiwan. By aligning with international standards like the EU AI Act, these Guidelines ensure that AI products and systems are rigorously assessed and categorized into four distinct risk levels: unacceptable, high, limited, and minimal. This structured approach allows businesses to manage AI-related risks more effectively, ensuring that systems are safe, transparent, and accountable. The emphasis on evaluating AI systems across ten critical criteria—including safety, explainability, and fairness—reflects a comprehensive strategy to mitigate potential risks. This proactive approach not only safeguards the public but also fosters trust in AI technologies. By setting clear expectations and responsibilities for businesses, the Guidelines promote responsible development and deployment of AI, ultimately contributing to Taiwan's goal of becoming a leader in the global AI landscape.
Taiwan's Approach to AI GovernanceTaiwan's Approach to AI Governance 2024/06/19 In an era where artificial intelligence (AI) reshapes every facet of life, governance plays a pivotal role in harnessing its benefits while mitigating associated risks. Taiwan, recognizing the dual-edged nature of AI, has embarked on a comprehensive strategy to ensure its development is both ethical and effective. This article delves into Taiwan's AI governance framework, exploring its strategic pillars, regulatory milestones, and future directions. I. Taiwan's AI Governance Vision: Taiwan AI Action Plan 2.0 Taiwan has long viewed AI as a transformative force that must be guided with a careful balance of innovation and regulation. With the advent of technologies capable of influencing democracy, privacy, and social stability, Taiwan's approach is rooted in human-centric values. The nation's strategy is aligned with global movements towards responsible AI, drawing lessons from international standards like those set by the European Union's Artificial Intelligence Act. The "Taiwan AI Action Plan 2.0" is the cornerstone of this strategy. It is a multi-faceted plan designed to boost Taiwan's AI capabilities through five key components: 1. Talent Development: Enhancing the quality and quantity of AI professionals while improving public AI literacy through targeted education and training initiatives. 2. Technological and Industrial Advancement: Focusing on critical AI technologies and applications to foster industrial growth and creating the Trustworthy AI Dialogue Engine (TAIDE) that communicates in Traditional Chinese. 3. Supportive Infrastructure: Establishing robust AI governance infrastructure to facilitate industry and governmental regulation, and to foster compliance with international standards. 4. International Collaboration: Expanding Taiwan's role in international AI forums, such as the Global Partnership on AI (GPAI), to collaborate on developing trustworthy AI practices. 5. Societal and Humanitarian Engagement: Utilizing AI to tackle pressing societal challenges like labor shortages, an aging population, and environmental sustainability. II. Guidance-before-legislation To facilitate a gradual adaptation to the evolving legal landscape of artificial intelligence and maintain flexibility in governance, Taiwan employs a "guidance-before-legislation" approach. This strategy prioritizes the rollout of non-binding guidelines as an initial step, allowing agencies to adjust before any formal legislation is enacted as needed. Taiwan adopts a proactive approach in AI governance, facilitated by the Executive Yuan. This method involves consistent inter-departmental collaborations to create a unified regulatory landscape. Each ministry is actively formulating and refining guidelines to address the specific challenges and opportunities presented by AI within their areas of responsibility, spanning finance, healthcare, transportation, and cultural sectors. III. Next step: Artificial Intelligence Basic Act The drafting of the "Basic Law on Artificial Intelligence," anticipated for legislative review in 2024, marks a significant step towards codifying Taiwan’s AI governance. Built on seven foundational principles—transparency, privacy, autonomy, fairness, cybersecurity, sustainable development, and accountability—this law will serve as the backbone for all AI-related activities and developments in Taiwan. By establishing rigorous standards and evaluation mechanisms, this law will not only govern but also guide the ethical deployment of AI technologies, ensuring that they are beneficial and safe for all. IV. Conclusion As AI continues to evolve, the need for robust governance frameworks becomes increasingly critical. Taiwan is setting a global standard for AI governance that is both ethical and effective. Through legislation, active international cooperation, and a steadfast commitment to human-centric values, Taiwan is shaping a future where AI technology not only thrives but also aligns seamlessly with societal norms and values.
Brief Introduction to Taiwan Social Innovation PoliciesBrief Introduction to Taiwan Social Innovation Policies 2021/09/13 1. Introduction The Millennium Development Goals (MDGs)[1] set forth by the United Nations in 2000 are carried out primarily by nations and international organizations. Subsequently, the Sustainable Development Goals (SDGs) set forth by the United Nations in 2015 started to delegate the functions to organizations of all levels. Presently, there is a global awareness of the importance of balancing “economic growth”, “social progress”, and “environmental protection” simultaneously during development. In the above context, many similar concepts have arisen worldwide, including social/solidarity economy, social entrepreneurship and social enterprise, and social innovation. Generally, social innovation aims to alter the interactions between various groups in society through innovative applications of technology or business models, and to find new ways to solve social problems through such alterations. In other words, the goal is to use innovative methods to solve social problems.The difference between social innovation and social enterprise is that social enterprise combines commercial power to achieve its social mission under a specific perspective, while social innovation creates social value through cooperation with and coordination among technology, resources, and communities under a diversified nature. 2. Overview of Taiwan Social Enterprise Policy To integrate into the global community and assist in the development of domestic social innovation, Taiwan’s Executive Yuan launched the “Social Enterprise Action Plan” in 2014, which is the first policy initiative to support social enterprises (from 2014 to 2016).Under this policy initiative, through consulting with various ministries and applying methods such as “amending regulations”, “building platforms”, and “raising funds”, the initiative set to create an environment with favorable conditions for social innovation and start-ups. At this stage, the initiative was adopted under the principle of “administrative guidance before legislation” in order to encourage private enterprise development without excessive burden, and avoid regulations restricting the development of social enterprises, such as excessive definition of social enterprises. Moreover, for preserving the original types of these enterprises, this Action Plan did not limit the types of social enterprises to companies, non-profit organizations, or other specific types of organizations. To sustain the purpose of the Social Enterprise Action Plan and to echo and reflect the 17 sustainable development goals proposed in SDGs by the United Nations, the Executive Yuan launched the “Social Innovation Action Plan” (effective from 2018 to 2022) in 2018 to establish a friendly development environment for social innovation and to develop diversified social innovation models through the concept of “openness, gathering, practicality, and sustainability”.In this Action Plan, “social innovation” referred to “social innovation organizations” that solve social problems through technology or innovative business models. The balancing of the three managerial goals of society, environment value, and profitability is the best demonstration of the concept of social innovation. 3. Government’s Relevant Social Enterprise Policy and Resources The ministries of the Taiwan Government have been promoting relevant policies in accordance with the Social Innovation Action Plan issued by the Executive Yuan in 2018, such as the “Registration System for Social Innovation Enterprises” (counseling of social enterprises), the “Buying Power - Social Innovation Products and Services Procurement”, the “Social Innovation Platform” established by the Ministry of Economic Affairs, the “Social Innovation Manager Training Courses”, the “Promoting Social Innovation and Employment Opportunities” administered by the Ministry of Labor, and the “University Social Responsibility Program” published by the Ministry of Education. Among the above policies stands out the measures adopted by the Ministry of Economic Affairs, and a brief introduction of those policies are as follows: i. Social Innovation Platform To connect all resources involved in social issues to promote social innovation development in Taiwan, the Ministry of Economic Affairs established the “Social Innovation Platform”.[2] With visibility through the Social Innovation Platform, it has become more efficient to search for targets in a public and transparent way and to assist with the input of resources originally belonging to different fields in order to expand social influence. As a digital platform gathering “social innovation issues in Taiwan,” the Social Innovation Platform covers multiple and complete social innovation resources, which include the “SDGs Map” constructed on the Social Innovation Platform, by which we can better understand how county and city governments in Taiwan implement SDGs and Voluntary Local Review Reports, and which allow us to search the Social Innovation Database[3] and the registered organizations, by which citizens, enterprises, organizations, and even local governments concerned with local development can find their partners expediently as possible, establish service lines to proactively assist public or private entities with their needs/resources, and continue to enable the regional revitalization organizations, ministries, and enterprises to identify and put forward their needs for social innovation through the function of “Social Innovation Proposals”, which assist social innovation organizations with visibility while advancing cooperation and expanding social influence. In addition, the “Event Page” was established on the Social Innovation Platform and offers functions, such as the publishing, searching, and sorting of events in four major dimensions with respect to social innovation organization, governments, enterprises, and citizens; and encourages citizens, social innovation organizations, enterprises, and governments to devote themselves via open participation to continuously expande the influence of the (Civic Technology) Social Innovation Platform. The “Corporate Social Responsibility Report” collects the corporate social responsibility reports, observes the distribution of resources for sustainable development by corporations in Taiwan, offers filtering functions by regions, keyword, popular rankings, and or SDGs types, and provides contact information and a download function for previous years’ reports, in order to effectively assist social innovation organizations to obtain a more precise understanding of the status quo, needs, and trends with respect to their development of respective products and services. Figure 1: SDGs Map Reference: Social Innovation Platform (https://si.taiwan.gov.tw/) Figure 2: Social Innovation Database Reference: Social Innovation Platform (https://si.taiwan.gov.tw/) Figure 3: Social Innovation Proposals Reference: Social Innovation Platform (https://si.taiwan.gov.tw/) Figure 4: Event Page Reference: Social Innovation Platform (https://si.taiwan.gov.tw/) Figure 5: Corporate Social Responsibility Report Reference: Social Innovation Platform (https://si.taiwan.gov.tw/) ii. Social Innovation Database To encourage social innovation organizations to disclose their social missions, products and services, and to guide society to understand the content of social innovation, and to assist the administrative ministries to be able to utilize such information, the Ministry of Economic Affairs issued the “Principles of Registration of Social Innovation Organizations” to establish the “Social Innovation Database”. Once a social innovation organization discloses the items, such as its social missions, business model, or social influence, it may obtain the relevant promotional assistance resources, including becoming a trade partner with Buying Power (Social Innovation Products and Services Procurement), receiving exclusive consultation and assistance from professionals for social innovation organizations, and becoming qualified to apply to entering into the Social Innovation Lab.Moreover, the Ministry of Economic Affairs is simultaneously consolidating, identifying, and designating the awards and grants offered by the various ministries, policies and measures in respect of investment, and financing and assistance, as resources made available to registered entities. As of 25 May 2021, there were 658 registered social innovation organizations and 96 Social Innovation Partners (enterprises with CSR or ESG resources that recognize the cooperation with social innovation under the social innovation thinking model may be registered as a “Social Innovation Partner”).The public and enterprises can search for organizations registered in the Social Innovation Database through the above-said Social Innovation Platform, the search ability of which advances the exposure of and the opportunities for cooperation with social innovation organizations. Figure 6: Numbers of registered social innovation organizations and accumulated value of purchases under Buying Power Reference: Social Innovation Platform(https://si.taiwan.gov.tw/) iii. Buying Power - Social Innovation Products and Services Procurement In order to continue increasing the awareness on social innovation organizations and related issues and promote responsible consumption and production in Taiwan, as well as to raise the attention of the commercial sector to the sustainability-driven procurement models, the Ministry of Economic Affairs held the first “Buying Power - Social Innovation Products and Services Procurement” event in 2017. Through the award system under the Buying Power, it continues to encourage the governments, state-owned enterprises, private enterprises, and organizations to take the lead in purchasing products or services from social innovation organizations, to provide the relevant resources so as to assist social innovation organizations to obtain resources and to explore business opportunities in the markets, to practice responsible consumption and production, and to promote innovative cooperation between all industries and commerce and social innovation organizations. The aim of the implementation of the Buying Power is to encourage the central and local governments, state-owned enterprises, private enterprises, and non-governmental organizations to purchase products or services from organizations registered in the Social Innovation Database, while prizes will be awarded based on the purchase amounts accumulated during the calculation period. The winners can obtain priority in applying for membership in the Social Innovation Partner Group, with corresponding member services, in the future. Under the Social Innovation Platform, both the amount of purchase awards and the number of applicants for special awards continue to increase.So far, purchases have accumulated to a value of more than NT$1.1 billion (see Figure 6), and more than 300 organizations have proactively participated. iv. Social Innovation Mark In order to promote public awareness of social innovation, the Ministry of Economic Affairs has been charged with the commissioned task of promoting the Social Innovation Mark, and issued “ The Small and Medium Enterprise Administration of the Ministry of Economic Affairs Directions for Authorization of the Social Innovation Mark” as the standard for the authorization of the Social Innovation Mark. Social innovation organizations can use the Mark, through obtaining authorization, to hold Social Innovation Summits or other social innovation activities for promoting social innovation concepts. In order to build the Mark as a conceptual symbol of social innovation, the Ministry of Economic Affairs has been using the Social Innovation Mark in connection with various social innovation activities, such as the Social Innovation Platform, the Buying Power, and the annual Social Innovation Summit. Taking the selection of sponsors of the Social Innovation Summit in 2022 as an example[4], only organizations that have obtained authorization of the Social Innovation Mark can use the Mark to hold the Social Innovation Summit. Figure 7: The Social Innovation Mark of the Small and Medium Enterprise Administration, Ministry of Economic Affairs IV. Conclusion The “Organization for Economic Cooperation and Development” (OECD) regards social innovation as a new strategy for solving future social problems and as an important method for youth entrepreneurship and social enterprise development.Taiwan’s social innovation energy has entered a stage of expansion and development. Through the promotion of the “Social Innovation Action Plan,” the resources from the central and local governments are integrated to establish the Social Innovation Platform, the Social Innovation Database, the Social Innovation Lab, and the Social Innovation Mark. In addition, incentives such as the Buying Power have been created, manifesting the positive influence of Taiwan’s social innovation. [1] MDGs are put forward by the United Nations in 2000, and are also the goals requiring all the 191 member states and at least 22 international organizations of the United Nations to be committed to on their best endeavors, including: 1. eradicating extreme poverty and hunger, 2. applying universal primary education, 3. promoting gender equality and empowering women, 4. reducing child mortality rates, 5. improving maternal health, 6. combatting HIV/AIDS, malaria, and other diseases, 7. ensuring environmental sustainability, and 8. establishing a global partnership for development. [2] Please refer to the Social Innovation Platform: https://si.taiwan.gov.tw/. [3] Please refer to the Social Innovation Database: https://si.taiwan.gov.tw/Home/Org_list. [4] Please refer to the guidelines for the selection of sponsors of the 2022 Social Innovation Summit: https://www.moeasmea.gov.tw/files/6221/4753E497-B422-4303-A8D4-35AE0B4043A9
The use of automated facial recognition technology and supervision mechanism in UKThe use of automated facial recognition technology and supervision mechanism in UK I. Introduction Automatic facial recognition (AFR) technology has developed rapidly in recent years, and it can identify target people in a short time. The UK Home Office announced the "Biometrics Strategy" on June 28, 2018, saying that AFR technology will be introduced in the law enforcement, and the Home Office will also actively cooperate with other agencies to establish a new oversight and advisory board in order to maintain public trust. AFR technology can improve law enforcement work, but its use will increase the risk of intruding into individual liberty and privacy. This article focuses on the application of AFR technology proposed by the UK Home Office. The first part of this article describes the use of AFR technology by the police. The second part focuses on the supervision mechanism proposed by the Home Office in the Biometrics Strategy. However, because the use of AFR technology is still controversial, this article will sort out the key issues of follow-up development through the opinions of the public and private sectors. The overview of the discussion of AFR technology used by police agencies would be helpful for further policy formulation. II. Overview of the strategy of AFR technology used by the UK police According to the Home Office’s Biometrics Strategy, the AFR technology will be used in law enforcement, passports and immigration and national security to protect the public and make these public services more efficient[1]. Since 2017 the UK police have worked with tech companies in testing the AFR technology, at public events like Notting Hill Carnival or big football matches[2]. In practice, AFR technology is deployed with mobile or fixed camera systems. When a face image is captured through the camera, it is passed to the recognition software for identification in real time. Then, the AFR system will process if there is a ‘match’ and the alarm would solicit an operator’s attention to verify the match and execute the appropriate action[3]. For example, South Wales Police have used AFR system to compare images of people in crowds attending events with pre-determined watch lists of suspected mobile phone thieves[4]. In the future, the police may also compare potential suspects against images from closed-circuit television cameras (CCTV) or mobile phone footage for evidential and investigatory purposes[5]. The AFR system may use as tools of crime prevention, more than as a form of crime detection[6]. However, the uses of AFR technology are seen as dangerous and intrusive by the UK public[7]. For one thing, it could cause serious harm to democracy and human rights if the police agency misuses AFR technology. For another, it could have a chilling effect on civil society and people may keep self-censoring lawful behavior under constant surveillance[8]. III. The supervision mechanism of AFR technology To maintaining public trust, there must be a supervision mechanism to oversight the use of AFR technology in law enforcement. The UK Home Office indicates that the use of AFR technology is governed by a number of codes of practice including Police and Criminal Evidence Act 1984, Surveillance Camera Code of Practice and the Information Commissioner’s Office (ICO)’s Code of Practice for surveillance cameras[9]. (I) Police and Criminal Evidence Act 1984 The Police and Criminal Evidence Act (PACE) 1984 lays down police powers to obtain and use biometric data, such as collecting DNA and fingerprints from people arrested for a recordable offence. The PACE allows law enforcement agencies proceeding identification to find out people related to crime for criminal and national security purposes. Therefore, for the investigation, detection and prevention tasks related to crime and terrorist activities, the police can collect the facial image of the suspect, which can also be interpreted as the scope of authorization of the PACE. (II) Surveillance Camera Code of Practice The use of CCTV in public places has interfered with the rights of the people, so the Protection of Freedoms Act 2012 requires the establishment of an independent Surveillance Camera Commissioner (SCC) for supervision. The Surveillance Camera Code of Practice proposed by the SCC sets out 12 principles for guiding the operation and use of surveillance camera systems. The 12 guiding principles are as follows[10]: A. Use of a surveillance camera system must always be for a specified purpose which is in pursuit of a legitimate aim and necessary to meet an identified pressing need. B. The use of a surveillance camera system must take into account its effect on individuals and their privacy, with regular reviews to ensure its use remains justified. C. There must be as much transparency in the use of a surveillance camera system as possible, including a published contact point for access to information and complaints. D. There must be clear responsibility and accountability for all surveillance camera system activities including images and information collected, held and used. E. Clear rules, policies and procedures must be in place before a surveillance camera system is used, and these must be communicated to all who need to comply with them. F. No more images and information should be stored than that which is strictly required for the stated purpose of a surveillance camera system, and such images and information should be deleted once their purposes have been discharged. G. Access to retained images and information should be restricted and there must be clearly defined rules on who can gain access and for what purpose such access is granted; the disclosure of images and information should only take place when it is necessary for such a purpose or for law enforcement purposes. H. Surveillance camera system operators should consider any approved operational, technical and competency standards relevant to a system and its purpose and work to meet and maintain those standards. I. Surveillance camera system images and information should be subject to appropriate security measures to safeguard against unauthorised access and use. J. There should be effective review and audit mechanisms to ensure legal requirements, policies and standards are complied with in practice, and regular reports should be published. K. When the use of a surveillance camera system is in pursuit of a legitimate aim, and there is a pressing need for its use, it should then be used in the most effective way to support public safety and law enforcement with the aim of processing images and information of evidential value. L. Any information used to support a surveillance camera system which compares against a reference database for matching purposes should be accurate and kept up to date. (III) ICO’s Code of Practice for surveillance cameras It must need to pay attention to the personal data and privacy protection during the use of surveillance camera systems and AFR technology. The ICO issued its Code of Practice for surveillance cameras under the Data Protection Act 1998 to explain the legal requirements operators of surveillance cameras. The key points of ICO’s Code of Practice for surveillance cameras are summarized as follows[11]: A. The use time of the surveillance camera systems should be carefully evaluated and adjusted. It is recommended to regularly evaluate whether it is necessary and proportionate to continue using it. B. A police force should ensure an effective administration of surveillance camera systems deciding who has responsibility for the control of personal information, what is to be recorded, how the information should be used and to whom it may be disclosed. C. Recorded material should be stored in a safe way to ensure that personal information can be used effectively for its intended purpose. In addition, the information may be considered to be encrypted if necessary. D. Disclosure of information from surveillance systems must be controlled and consistent with the purposes for which the system was established. E. Individuals whose information is recoded have a right to be provided with that information or view that information. The ICO recommends that information must be provided promptly and within no longer than 40 calendar days of receiving a request. F. The minimum and maximum retention periods of recoded material is not prescribed in the Data Protection Act 1998, but it should not be kept for longer than is necessary and should be the shortest period necessary to serve the purposes for which the system was established. (IV) A new oversight and advisory board In addition to the aforementioned regulations and guidance, the UK Home Office mentioned that it will work closely with related authorities, including ICO, SCC, Biometrics Commissioner (BC), and Forensic Science Regulator (FSR) to establish a new oversight and advisory board to coordinate consideration of law enforcement’s use of facial images and facial recognition systems[12]. To sum up, it is estimated that the use of AFR technology by law enforcement has been abided by existing regulations and guidance. Firstly, surveillance camera systems must be used on the purposes for which the system was established. Secondly, clear responsibility and accountability mechanisms should be ensured. Thirdly, individuals whose information is recoded have the right to request access to relevant information. In the future, the new oversight and advisory board will be asked to consider issues relating to law enforcement’s use of AFR technology with greater transparency. IV. Follow-up key issues for the use of AFR technology Regarding to the UK Home Office’s Biometrics Strategy, members of independent agencies such as ICO, BC, SCC, as well as civil society, believe that there are still many deficiencies, the relevant discussions are summarized as follows: (I) The necessity of using AFR technology Elizabeth Denham, ICO Commissioner, called for looking at the use of AFR technology carefully, because AFR is an intrusive technology and can increase the risk of intruding into our privacy. Therefore, for the use of AFR technology to be legal, the UK police must have clear evidence to demonstrate that the use of AFR technology in public space is effective in resolving the problem that it aims to address[13]. The Home Office has pledged to undertake Data Protection Impact Assessments (DPIAs) before introducing AFR technology, including the purpose and legal basis, the framework applies to the organization using the biometrics, the necessity and proportionality and so on. (II)The limitations of using facial image data The UK police can collect, process and use personal data based on the need for crime prevention, investigation and prosecution. In order to secure the use of biometric information, the BC was established under the Protection of Freedoms Act 2012. The mission of the BC is to regulate the use of biometric information, provide protection from disproportionate enforcement action, and limit the application of surveillance and counter-terrorism powers. However, the BC’s powers do not presently extend to other forms of biometric information other than DNA or fingerprints[14]. The BC has expressed concern that while the use of biometric data may well be in the public interest for law enforcement purposes and to support other government functions, the public benefit must be balanced against loss of privacy. Hence, legislation should be carried to decide that crucial question, instead of depending on the BC’s case feedback[15]. Because biometric data is especially sensitive and most intrusive of individual privacy, it seems that a governance framework should be required and will make decisions of the use of facial images by the police. (III) Database management and transparency For the application of AFR technology, the scope of biometric database is a dispute issue in the UK. It is worth mentioning that the British people feel distrust of the criminal database held by the police. When someone is arrested and detained by the police, the police will take photos of the suspect’s face. However, unlike fingerprints and DNA, even if the person is not sued, their facial images are not automatically deleted from the police biometric database[16]. South Wales Police have used AFR technology to compare facial images of people in crowds attending major public events with pre-determined watch lists of suspected mobile phone thieves in the AFR field test. Although the watch lists are created for time-limited and specific purposes, the inclusion of suspects who could possibly be innocent people still causes public panic. Elizabeth Denham warned that there should be a transparency system about retaining facial images of those arrested but not charged for certain offences[17]. Therefore, in the future the UK Home Office may need to establish a transparent system of AFR biometric database and related supervision mechanism. (IV) Accuracy and identification errors In addition to worrying about infringing personal privacy, the low accuracy of AFR technology is another reason many people oppose the use of AFR technology by police agencies. Silkie Carlo, director of Big Brother Watch, said the police must immediately stop using the AFR technology and avoid mistaking thousands of innocent citizens as criminals; Paul Wiles, Biometrics Commissioner, also called for legislation to manage AFR technology because of its accuracy is too low and the use of AFR technology should be tested and passed external peer review[18]. In the Home Office’s Biometric Strategy, the scientific quality standards for AFR technology will be established jointly with the FSR, an independent agency under the Home Office. In other words, the Home Office plans to extend the existing forensics science regime to regulate AFR technology. Therefore, the FSR has worked with the SCC to develop standards relevant to digital forensics. The UK government has not yet seen specific standards for regulating the accuracy of AFR technology at the present stage. V. Conclusion From the discussion of the public and private sectors in the UK, we can summarize some rules for the use of AFR technology. Firstly, before the application of AFR technology, it is necessary to complete the pre-assessment to ensure the benefits to the whole society. Secondly, there is the possibility of identifying errors in AFR technology. Therefore, in order to maintain the confidence and trust of the people, the relevant scientific standards should be set up first to test the system accuracy. Thirdly, the AFR system should be regarded as an assisting tool for police enforcement in the initial stage. In other words, the information analyzed by the AFR system should still be judged by law enforcement officials, and the police officers should take the responsibilities. In order to balance the protection of public interest and basic human rights, the use of biometric data in the AFR technology should be regulated by a special law other than the regulations of surveillance camera and data protection. The scope of the identification database is also a key point, and it may need legislators’ approval to collect and store the facial image data of innocent people. Last but not least, the use of the AFR system should be transparent and the victims of human rights violations can seek appeal. [1] UK Home Office, Biometrics Strategy, Jun. 28, 2018, https://www.gov.uk/government/publications/home-office-biometrics-strategy (last visited Aug. 09, 2018), at 7. [2] Big Brother Watch, FACE OFF CAMPAIGN: STOP THE MET POLICE USING AUTHORITARIAN FACIAL RECOGNITION CAMERAS, https://bigbrotherwatch.org.uk/all-campaigns/face-off-campaign/ (last visited Aug. 16, 2018). [3] Lucas Introna & David Wood, Picturing algorithmic surveillance: the politics of facial recognition systems, Surveillance & Society, 2(2/3), 177-198 (2004). [4] Supra note 1, at 12. [5] Id, at 25. [6] Michael Bromby, Computerised Facial Recognition Systems: The Surrounding Legal Problems (Sep. 2006)(LL.M Dissertation Faculty of Law University of Edinburgh), http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.197.7339&rep=rep1&type=pdf , at 3. [7] Owen Bowcott, Police face legal action over use of facial recognition cameras, The Guardian, Jun. 14, 2018, https://www.theguardian.com/technology/2018/jun/14/police-face-legal-action-over-use-of-facial-recognition-cameras (last visited Aug. 09, 2018). [8] Martha Spurrier, Facial recognition is not just useless. In police hands, it is dangerous, The Guardian, May 16, 2018, https://www.theguardian.com/commentisfree/2018/may/16/facial-recognition-useless-police-dangerous-met-inaccurate (last visited Aug. 17, 2018). [9] Supra note 1, at 12. [10] Surveillance Camera Commissioner, Surveillance camera code of practice, Oct. 28, 2014, https://www.gov.uk/government/publications/surveillance-camera-code-of-practice (last visited Aug. 17, 2018). [11] UK Information Commissioner’s Office, In the picture: A data protection code of practice for surveillance cameras and personal information, Jun. 09, 2017, https://ico.org.uk/for-organisations/guide-to-data-protection/encryption/scenarios/cctv/ (last visited Aug. 10, 2018). [12] Supra note 1, at 13. [13] Elizabeth Denham, Blog: facial recognition technology and law enforcement, Information Commissioner's Office, May 14, 2018, https://ico.org.uk/about-the-ico/news-and-events/blog-facial-recognition-technology-and-law-enforcement/ (last visited Aug. 14, 2018). [14] Monique Mann & Marcus Smith, Automated Facial Recognition Technology: Recent Developments and Approaches to Oversight, Automated Facial Recognition Technology, 10(1), 140 (2017). [15] Biometrics Commissioner, Biometrics Commissioner’s response to the Home Office Biometrics Strategy, Jun. 28, 2018, https://www.gov.uk/government/news/biometrics-commissioners-response-to-the-home-office-biometrics-strategy (last visited Aug. 15, 2018). [16] Supra note 2. [17] Supra note 13. [18] Jon Sharman, Metropolitan Police's facial recognition technology 98% inaccurate, figures show, INDEPENDENT, May 13, 2018, https://www.independent.co.uk/news/uk/home-news/met-police-facial-recognition-success-south-wales-trial-home-office-false-positive-a8345036.html (last visited Aug. 09, 2018).
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