Is Global Artificial Intelligence Regulation Consensus Possible?

More and more AI innovation appears in the market and becoming part of our daily life.  As the technology advanced, many countries are drafting their own national strategies for artificial intelligence (AI) development.  “The state of AI in 2021 report” released by McKinsey & Company last December indicated that, AI adoption is continuing its steady rise: 56 percent of all corporate respondents report AI adoption in at least one function. However, while AI helps people make decisions in areas such as health care, finance, and marketing, it also brings people fear that AI discrimination and misjudgment may violate the human right.

It is a generally accepted idea that AI should be regulated but one huge challenge remains: HOW?  The various artificial intelligence legislation proposals raised by the European Union, China, the United Kingdom, and the United States demonstrate different values. Most importantly, the legislations work independently and cause conflicts. Building a global AI regulatory framework has become an impossible urgent need.

Three experts are invited to join the session to talk about three AI ​​regulatory models in the world’s three major economies: EU, the United States and China.  Further, the speakers will deliberate the different AI governance approaches implications to Taiwan’s business and society. The session is expected facilitate the stakeholders to think and debate about the best scheme.

 

Time: 2022/11/08 02:00-04:00PM

Venue: IEAT International Conference Center Meeting 8F Room 2 (No. 350, Songjiang Road, Zhongshan District, Taipei City)

  • Presentation 1. EU Model — Human-Centric Artificial intelligence:Kuo-Lien Hsieh, Professor of Department of Economic and Financial Law, NUK
  • Presentation 2. U.S. Model – AI Deployment Principles:Jung-Chin Kuo, Assistant professor of Institute of Financial & Economic Law (IFEL), Southern Taiwan University of Science & Technology (STUST)
  • Presentation 3. China Model – Algorithms Regulatio:Yisuo Tzeng, Assistant Research Fellow of Institute for National Defense and Security Research

監管AI,全球共識有可能嗎?

由於人工智慧(AI)相關技術的長足進步,許多國家陸續將AI納為國家政策,各式AI的商業創新應用也陸續推出,融入企業與民眾的日常中。麥肯錫顧問公司在去年底發布的2021年人工智慧現況報告便指出,56% 的企業在日常運作中至少有一項功能是採用了人工智慧技術,便可說明AI應用的普遍性。然而在AI技術協助人們於醫療、金融、行銷等不同領域做出決策的同時,也讓人們恐懼著受AI歧視誤判的風險與人權侵害。

對AI進行監管的必要性已是普遍共識,惟具體應當如何規範仍是個難題。歐盟提出了人工智慧法案,中國、英國、美國也陸續提出相關規範,各自反應出不同的價值觀。無論是哪一個國家的監管規範,都無法獨立運作不相互影響,建構一個全球價值觀的AI監管框架或協議,似乎也成了一個重要但卻又不可能的任務。

本場次採專題演講方式,邀請專家介紹全球三大經濟體:歐洲、美國與中國的AI監管模式與其脈絡,以及這些不同監管模式對台灣的產業與社會發展的意函,使國內社群理解全球重大AI治理模式的樣貌,並留給社群思考這些不同治理模式的歧異與共同處,以及適合台灣產業發展及社會文化的最佳監管模式又是如何?

時間及地點

時間:2022年11月8日 , 14:00-16:00

地點:IEAT國際會議中心8樓綜合教室/Webex會議室
          ****本活動採實體與線上同步進行****

議程

14:00-14:05  活動介紹

14:05-14:45   專題演講一「歐盟以人為本的AI監管模式 」:謝國廉 教授(國立高雄大學財經法律學系/人工智慧法律國際研究基金會兼任研究員)

14:45-15:25   專題演講二「美國人工智慧監管原則與落實 」:郭戎晉 助理教授(南臺科技大學財經法律研究所)

15:25-16:05   專題演講三「中國的AI監管法規 」:曾怡碩 博士(國防安全研究所網路安全與決策推演研究所)