Forum@SSI: Is AI regulatable?
It’s the height of the next pandemic. Our intensive care units are overwhelmed. Difficult decisions on patient prioritization become paramount. Can AI be counted on to assist with assigning personalized patient priority scores while adhering to ethical guidelines? Are there inherent limits to AI’s “scope of work”? There is a sentiment that AI technologies are too complex to regulate, they are too poorly understood, and they change too fast for law and regulation to keep up. Also attempts at regulation may curtail innovation. Is this true? Regulation of new drugs and autonomous driving likely shares some of the same characteristics and challenges. What can we learn?
We are excited to invite you to join an open discussion and delve into the complexities surrounding the regulation of AI from multiple broad angles: technological, social-economic , … Finale Doshi-Velez (Harvard) and David Hsu (NUS) will host this forum. They will be joined by a panel of experts (Profs Dong Jin Song, Hahn Jungpil, Lee Wee Sun, Leong Tze Yun) and students from NUS.
We invite you to join the forum online and interact with us via Slido! The Slido session has already been activated. If you have any burning questions and/or interesting thoughts for discussion, feel free to post them on Slido starting today. We look forward to your active participation!
Prof. Finale Doshi-Velez heads the Data to Actionable Knowledge group at Harvard Computer Science. She completed her MSc from the University of Cambridge as a Marshall Scholar, her PhD from MIT, and her postdoc at Harvard Medical School. Her interests lie at the intersection of machine learning, healthcare, and interpretability.
Prof. David Hsu is Provost’s Chair Professor in the Department of Computer Science, National University of Singapore and the director of Smart Systems Institute He received BSc in computer science & mathematics from the University of British Columbia, Canada, and PhD in computer science from Stanford University, USA. He is an IEEE Fellow. His research interests lie in robotics and AI.