Law Enforcement

AI for Law Enforcement

About the Series

AI is changing policing. Learn how to keep it fair, ethical, and effective.

This free, virtual workshop series equips law enforcement, public safety professionals, community organizations, and anyone interested in the intersection of AI and public safety with the knowledge and tools to use artificial intelligence responsibly to protect the public, reduce crime, and promote fairness. Designed for officers, analysts, administrators, policymakers, and community leaders, the sessions cover key AI technologies—such as generative AI, machine learning, and computer vision—while emphasizing ethics, transparency, and accountability.

Participants can join individual workshops or the full series, earning certificates for each session and a series completion certificate for six or more. Register today to build the skills for safe, effective, and fair AI deployment in policing.

Workshops

AI Fundamentals for Public Safety
Mark Genatempo, Senior Fellow, Rutgers University Miller Center on Policing and Community Resilience
AI in Action: Use Cases and Capabilities in Law Enforcement
Ergin Orman, Detective Sergeant First Class, Internet Crimes Against Children Unit, New Jersey State Police
Luis Tomlinson, Unit Head of the Communication Infrastructure Unit, New Jersey State Police
AI Policy Development
Peter Lambrinakos, Director of Public Safety Program & Artificial Intelligence Centre of Excellence, uOttawa Professional Development Institute
AI in Police Operations
Shane Evangelist, Chief Executive Officer, NeoGov
Anita McGahan, Senior Research Scientist, The Burnes Center for Social Change
Patrick Poulin, Inspector, Royal Canadian Mounted Police Cybercrime Unit
Stakeholder Engagement in AI Implementation
Michael Navin, Principal Court Management Consultant, National Center for State Courts
BIAS: Understanding and Undermining its Operation in Humans and in the Technology We Create
Jennifer Eberhardt, Professor, Stanford University

October 27, 2025

2:00 PM ET

60-minutes

Predictive Policing and Algorithmic Bias
Mihir Kshirsagar, Tech Policy Clinic Lead, Princeton University
Facial Recognition: Applications, Risks, and Limits
Mihir Kshirsagar, Tech Policy Clinic Lead, Princeton University