— Presenters —

• Agathe Balayn
  Postdoctoral Researcher, Microsoft Research
  “Responsible AI on the Ground: What Empirical Research Tells Us about Regulating AI”
• Felix Chen
  Emerging Scholar, Princeton University, Center for Information Technology Policy
  “Measuring the Impact of Google AI Overviews and WebGuide on User Search Behavior”
• Chee Hae Chung
  Postdoctoral Research Associate, Purdue University
  “From Ethics to Policy: Translating AI Ethical Guidelines into Governance Frameworks in Northeast Asia”
• Niva Elkin-Koren
  Director, Shamgar Center for Digital Law and Innovation, Tel-Aviv University Faculty of Law
  “Transparency by Middleware: How to Address Blind Spots in AI Governance Caused by Self-Reporting”
• Neel Guha
  JD/PhD Candidate, Stanford Computer Science / Stanford Law School
  “Designing Application-Specific AI Regulation”
• Heonuk Ha
  Postdoctoral Research Associate, University of Michigan, Institute for Social Research
  “Mapping the Rise of Bureaucratic AI Governance: Political Ideology, Institutional Capacity, and Policy Implications in U.S. Rulemaking”
• Vivek Krishnamurthy
  Associate Professor, University of Colorado Law School
  “Against AI Sovereignty”
• Christina Lee
  Visiting Associate Professor of Law and Privacy and Technology Law Fellow, George Washington University Law School
  “Developers as AI Agents’ Shadow Principals”
• Anat Lior
  Assistant Professor of Law, Drexel University’s Thomas R. Kline School of Law
  “Fighting AI Harms Together: What Class Actions Can (and Can’t) Do”
• Daniel Schwarcz
  Professor, University of Minnesota Law School
  “The Limits of Regulating AI Safety Through Liability and Insurance: Lessons from Cybersecurity”
• Chinmayi Sharma
  Associate Professor, Fordham Law School
  “AI Dissidence by Design”
• Jiannan Xu
  PhD Candidate, Robert H. Smith School of Business, University of Maryland
  “AI Self-Preferencing in Algorithmic Hiring: Empirical Evidence and Insights”