AI Policy Hub

The Public Safety AI Policy Hub is a source for insights, analysis, and policy guidance related to the use of AI in the public safety domain. Our goal is to serve as a central forum for policymakers and stakeholders interested in the sound governance of AI. The Public Safety AI Policy Hub is a project of the Policing Project at New York University School of Law.

Latest Resources

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AI Governance Framework: Preliminary Draft

Our AI Governance Framework is intended to serve as a comprehensive roadmap for the sound governance of AI in law enforcement.

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Jan 16, 2026

Q&A with Culver City Mayor Freddy Puza on Regulating ALPRs

Jan 16, 2026

We spoke with Mayor Freddy Puza of Culver City, California, on a recent decision by the City Council to regulate how its police department can use and share data from its automated license plate readers (ALPRs).

Jan 16, 2026

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May 9, 2025

Rethinking Response Part One: AI in 911 Call Centers

May 9, 2025

This explainer describes how AI tools can help 911 dispatchers divert appropriate calls away from police, reducing harm and improving emergency response.

May 9, 2025

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Public Safety AI: Assessing the Benefits

The goal of this explainer is to help policymakers assess the potential benefits of AI systems as part of a comprehensive evaluative approach.

How Policing Agencies Use AI

This explainer gives an overview of some of the ways police are using AI to investigate and deter crime.

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AI & Prosecution: Mapping the Current and Future Roles of Artificial Intelligence in Prosecution

AI and Prosecution is a collaboration between the Vanderbilt Project on Prosecution Policy (VPOPP) and NYU Law's Policing Project. Based on a comprehensive literature review and interviews with prosecutors nationwide, this report catalogs current AI applications in prosecution, explores future uses, assesses benefits and risks, and offers recommendations for effective governance of the use of this powerful technology.