Responsible AI for Public Safety: A Practical Framework for Evaluating and Adopting AI
Public safety agencies are under pressure to do more with fewer resources while managing growing volumes of digital evidence, records, and investigative data. Artificial intelligence can help agencies reduce administrative burden and surface timely insights, but only when it is governed, explainable, secure, and designed for mission-critical public safety workflows.
The Responsible AI for Public Safety white paper gives law enforcement leaders, IT teams, investigators, and command staff a practical framework for evaluating responsible AI in public safety. It explains the risks of ungoverned AI, the limits of generic standalone tools, and the principles agencies should require before using AI in official records, investigations, case intelligence, or legal proceedings.
What’s Inside the White Paper
- Why public safety agencies are evaluating AI now
- The risks agencies must address before adopting AI
- Why generic AI tools can create operational and legal risk
- A vendor evaluation framework for law enforcement AI
Who Should Read This Guide
This Mark43 white paper is designed for public safety professionals evaluating AI for law enforcement, investigations, records, and agency operations, including:
- Public safety executives and command staff evaluating responsible AI strategy, governance, and operational risk.
- IT, security, and technology leaders assessing AI architecture, data protection, CJIS considerations, and compliance readiness.
- Investigators, analysts, and supervisors looking for faster, more defensible ways to manage case intelligence, digital evidence, and investigative workflows.
Download the Responsible AI for Public Safety white paper to evaluate responsible AI for law enforcement with more confidence.
