1. Start with Clear Definitions

Before discussing rules or procedures, define what you mean by “AI” within your agency.

Include key terms like artificial intelligence, machine learning, predictive analytics, and automated decision systems — so everyone is speaking the same language.

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2. Establish Purpose and Scope

Clarify why your agency is adopting AI tools and what areas they will affect.

Are you using AI for administrative tasks? Investigations? Communications?


Define both the intended benefits and any restrictions on use.

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3. Set Accountability Standards

Clearly state who is responsible for overseeing AI systems — from procurement to deployment to incident response.

Policies should require human review of critical decisions and establish clear reporting channels for system errors or complaints.

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4. Protect Civil Rights and Privacy

Your policy must address how your agency will protect constitutional rights, prevent bias, and safeguard personal data.

Include specific language on transparency, public notice, data retention limits, and third-party data sharing.

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5. Build a Review and Update Process

AI technology evolves rapidly. Your policy should require regular audits and updates to stay aligned with new legal standards, technical changes, and community expectations.

A static policy is a liability. Build adaptability into the framework from the start.

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Final Thought

A strong AI policy protects more than just your agency — it protects the trust between law enforcement and the community you serve.
It creates clarity for officers, transparency for citizens, and a roadmap for responsible innovation.

If your department is considering AI, your first investment should be a clear, actionable policy — not just the technology itself.

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