AI and Regulation: Finding the Sweet Spot for Consumer Welfare | with Keith Chan

Join us in this episode as we explore the rise of AI technology and the complex decisions that policy makers are facing regarding the protection of privacy and fostering of innovation. Our guest Keith sheds light on how moderately loosening regulations in a competitive market environment may maximize consumer welfare. However, we also discuss how some countries, such as Russia, strongly deviate from this strategy, indicating that consumer welfare may not be their top priority.  Keith Chan is Assistant Professor at the Hong Kong University of Science and Technology, where his research is centered on Microeconomics, Environmental Economics and Sustainable and Green Finance. You can find his paper on the tradeoff between regulations and innovation for AI here.

Om Podcasten

In Game Changer, the podcast by TWS Partners, we want to share our enthusiasm and passion for game theory and its applications. We invite guests from business and academia to discuss how they use the power of game theory in their profession to make a difference – and to learn some fun anecdotes, useful facts and valuable insights along the way. Join us on this journey, and find out that game theory is much more than a topic for ivory tower discussions.