Talks

The Mirage of Artificial Intelligence Terms of Use Restrictions

Invited Panelist: AI Governance & Regulation

Invited Panelist: Constitutional Interpretation and Progressive Messaging in the Age of AI

Invited Panelist: AI in the Legal System Panel

Foundation Models and Copyright

Keynote: Aligning AI and Law for Responsible Real-world Deployments

Factuality First: What Professional Codes of Conduct and Legal Domain Deployments can Teach Benchmark Developers

An Introduction to Large Language Models for Lawyers

Invited Remarks

What are the possibilities and limits for safety in open-source foundation models?

Invited Remarks

More Machine than Human: Doctrinal Requirements for Disentangling Human Contributions from AI Outputs

AI Safety and Legal Reasoning

Google X

Panel: Principles of Responsible and Open Foundation Models

Workshop on Responsible and Open Foundation Models at Carnegie Endowment for International Peace

Panel: Generative AI, Art and Ownership

International Strategy Forum Panel on Generative AI, Art and Ownership

Panel: Liability Considerations in Enterprise Use of Generative AI

Copyright Society CLE

The Benefits and Challenges of AI for Law and Government

CS+Social Good@Stanford

Foundation Models and Fair Use

Google Tech Talks: Differential Privacy in ML Seminar

AI in the Invention Process

USPTO AI Inventorship Listening Session - West Coast

Aligning Machine Learning, Law, and Policy for Responsible Real-World Deployments

Multiple venues:

• Princeton CITP
• Northwestern University
• Information Science Colloquium, Cornell University
• Cornell Tech

Guest Speaker - Reinforcement Learning and Public Policy

CS332: Advanced Survey of Reinforcement Learning, Stanford University

Pile of Law: Learning Responsible Data Filtering from the Law

York University Refugee Law Lab Seminar

Guest Speaker - Legal Issues with Large Language Models

CS324: Large Language Models, Stanford University

Panel: Environmental AI Technology & ESG Regulations

The First Meeting of the IEEE Planet Positive 2030 Community: Advancing Technology for a Sustainable Planet

Safety Considerations and Broader Implications for Governmental Uses of AI

Stanford AI Safety Workshop

Invited Expert Participant

AI Safety and Nuclear Confidence Building Measures Workshop (with Department of State, Sandia Laboratories, and Institute for Security+Technology)

Reinforcement Learning in Public Policy

Rework Reinforcement Learning Summit

Vulnerabilities in Discovery Tech

Workshop on Applications of Artificial Intelligence in the Legal Industry (IEEE Big Data)

Machine Learning Carbon Footprints

International Risk Governance Center (IRGC): Expert Workshop on Ensuring the environmental sustainability of emerging technology

RL Benchmarking, Climate Impacts of AI, and AI for Law

The Gradient Podcast

Participant: AI and Crisis Stability Working Group

Stanford CISAC (led by Harold Trinkunas and former Under Secretary of Defense for Policy Colin Kahl)

How blockers can turn into a paper: A retrospective on "Towards The Systematic Reporting of the Energy and Carbon Footprints of Machine Learning"

ML Retrospectives Workshop at ICML

Separating Value Functions Across Time-scales

Center for Human Compatible Artificial Intelligence (CHAI) Seminar at UC Berkeley

Panel: What Are the Key Obstacles Preventing the Progression and Application of Deep RL in Industry?

Rework Deep Reinforcement Learning Summit

Benchmarking and Evaluation in Inverse Reinforcement Learning

New Benchmarks, Metrics, and Competitions for Robotic Learning Workshop at RSS

Reproducibility and Replicability in Deep Reinforcement Learning (and Other Deep Learning Methods)

Statistical Society of Canada Annual Meeting

Tutorial on Policy Gradients for Continuous Control

Reinforcement Learning Summer School, Montréal, Canada

Show Me the Data! On the Reproducibility of Policy Gradient Methods for Continuous Control

Reinforcement Learning Summer School, Montréal, Canada