New AI Regulatory Landscape in the U.S.

This course, presented by Hope Anderson, reviews the up-to-the-minute state of AI regulation and policy in the U.S., with a particular focus on Generative AI. Discussions include how AI is being defined in different jurisdictions; existing and proposed US legislation at the national and state levels; approaches to AI by the FTC, EEOC, CFPG, and DOJ; biometrics and AR risks; legal issues involved in training data sets; AI performance liabilities, such as hallucinations and bias; and IP issues around AI output; attorney-client privilege. Ms. Anderson will also discuss high-level developments on AI in the EU.

Learning Objectives:

1. Address high-level developments on AI in the EU
   
2. Discuss how AI is being defined in different jurisdictions and existing and proposed U.S. legislation at the national and state levels
3. Analyze the approaches to AI being taken by the FTC, EEOC, CFPG, and DOJ
4. Review biometrics, AR risks, legal issues in training data sets, AI performance liabilities, such as hallucinations and bias, and potential IP issues
5. Consider attorney-client privilege as it relates to AI