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