Artificial Intelligence and Advanced Technologies in Law Enforcement

· Cutting-Edge Curriculum: Dive deep into the application of Artificial Intelligence in criminal investigations, surveillance, and real-time decision-making. Learn how generative AI is revolutionizing body-worn camera analysis and automating report transcription to improve accuracy and efficiency.

·  Practical Policy Insights: Discover effective implementation strategies for AI, including policy development, ethical considerations, and best practices for pilot programs.

·  Expert Faculty & Industry Partnerships: Train under seasoned law enforcement leaders and technology innovators, with networking opportunities and direct access to cutting-edge resources.

Day One:  AI and Policing Fundamentals:

The first day of this program gives law enforcement professionals a clear and practical foundation for understanding and responsibly implementing artificial intelligence in their agencies. Day one focuses on the strategic side of AI in policing, including real research on report writing and body-worn camera analysis, legal and ethical considerations, and how to evaluate tools, develop policies, and plan pilot projects.

Day Two:  AI Augmented Criminal Investigations:

This practical, hands-on course shows investigators how artificial intelligence can support criminal investigations from case intake through prosecution. Participants will learn how to use AI to organize large case files, develop timelines, summarize interviews, identify connections between people and events, generate investigative leads, prepare for interviews, track case progress, and review investigations for missing steps or weaknesses.

The course follows a realistic case from beginning to end and includes demonstrations of secure AI workspaces, local language models, facial recognition, automated license plate readers, NIBIN, digital evidence tools, link analysis, and other technologies already being used in law enforcement. Emphasis is placed on using AI legally, ethically, securely, and responsibly, with investigators retaining control over all decisions and verifying every AI-generated output.

Instructor

Matthew Barter

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Matthew Barter is a Lieutenant with the Manchester, New Hampshire, Police Department, currently assigned to the Legal and Professional Standards Division. He is an experienced police supervisor and a champion of evidence-based policing within his agency.

Lieutenant Barter has previously been assigned as the Chief of Staff for the department, Patrol Officer in Charge, supervisor for the Anti-Crime Unit, a federal Task Force Officer with the Bureau of Alcohol, Tobacco, Firearms and Explosives, and as an Officer assigned to the Crime Analysis Unit. He served for nine years as a SWAT Officer, where he led the Tactical Emergency Medical Support Unit.

 Lieutenant Barter is a collaborator who strives to partner with diverse stakeholders to solve difficult problems. He has successfully developed and implemented data-driven and evidence-based violent crime reduction strategies.  Lieutenant Barter also focuses on policing technology, including AI, and studies its impact on the profession.

He holds a Master’s Degree in Criminal Justice from Boston University and a Bachelor’s Degree in Criminal Justice from Saint Anselm College. He is a National Institute of Justice Law Enforcement Advancing Data and Science (LEADS) Scholar and completed the Senior Executives in State and Local Government program at the Harvard Kennedy School.