AI Governance, Law & Policy
Var Shankar advises organizations on AI governance, privacy, and regulatory risk. He leads the Council on AI Governance. Var previously practiced law at Cravath, Swaine & Moore LLP and worked on the Clinton Global Initiative. An attorney by background, he is a graduate of Harvard Law School.
Discussing the applications and governance challenges of AI systems in clinical healthcare settings.
Learn MoreExploring existing and emerging security risks posed by frontier models.
Learn MoreDiscussing regulatory and technical developments in AI and their implications for global economies.
Learn MoreDiscussing how AI can transform healthcare delivery while maintaining ethical standards and patient safety.
Learn MoreExamining how artificial intelligence can accelerate corporate sustainability initiatives and ESG compliance.
Learn MoreExploring the unique governance challenges and frameworks for deploying AI responsibly in healthcare settings.
Read ArticleExamining the profound privacy implications of AI systems that develop deep understanding of individual users.
Read ArticleProposing a third-party, system-level AI certification framework to bridge regulatory gaps.
Read ArticleComprehensive guidance for business leaders on implementing effective AI governance frameworks within their organizations.
Read ArticleExploring underutilized approaches that can enhance AI safety while supporting continued innovation.
Read ArticleA comprehensive course exploring practical tools to guide the moral design of AI systems. Co-taught with Alexis Cook on Kaggle Learn.
Learn what to expect from the course and understand the foundational concepts of AI ethics.
Design systems that serve people's needs and navigate issues in several real-world scenarios.
Understand how bias can creep in at any stage. Investigate a simple model that identifies toxic text.
Learn about four different types of fairness and assess a model trained to judge credit card applications.