POLICY RESEARCH COLLABORATIONS

Risk Mitigation Strategies for the Open Foundation Model Value Chain: Insights from workshop co-hosted with GitHub.
Partnership on AI Guidance for Safe Foundation Model Deployment, with over 40 organizations; see endorsements from supporting organizations including Google, ACLU, Meta, Microsoft, and more.
What steps can AI conferences take to encourage ethical reflection by the AI community? with Partnership on AI, CIFAR and Ada Lovelace Institute.
India-US data sharing for law enforcement: Blueprint for Reforms with Observer Research Foundation and Georgia Tech Institute for Information Security & Privacy.

Research and writing projects I led in partnership with stakeholders across industry, government, and civil society. Most were jointly published or institutionally endorsed.

ARTICLES & POLICY WHITEPAPERS

In-House Evaluation Is Not Enough: Towards Robust Third-Party Flaw Disclosure for General-Purpose AI, Stanford CRFM.
Developing General Purpose AI Guidelines: What the EU Can Learn from PAI’s Model Deployment Guidance, Partnership on AI.
Advancing Ethics Review Practices in AI Research, Nature Machine Intelligence.
Uncertainty as a Form of Transparency: Measuring, Communicating, and Using Uncertainty, AIES’ 21.
Principled AI: Mapping Consensus and Divergence in Ethical and Rights- Based Approaches to Principles for AI, Berkman Klein Center at Harvard University.
The Privacy Negotiators: The Need for U.S Tech Companies to Mediate Agreements on Government Access to Data in India, New America.
What makes them Tick: Evaluating Norms on Cyber Stability, Global Commission on Stability of Cyberspace.
AI has a gender problem. Here’s what to do about it, World Economic Forum.
The National Advisory Council Model: When the Civil Society was Heard in Policymaking in India, Berkman Klein Center at Harvard University.
Data Localization is No Solution, The Hindu.