Municipality AI Risk Assessment Toolkit

What’s inside

AI risk assessment built for the unique constraints of municipal government: public accountability, procurement law, civil rights exposure, and Maine-specific compliance. Eight-category framework, vendor scoring, and a public-disclosure template.

• Eight-category risk framework (bias, accuracy, privacy, transparency, security, vendor lock-in, public trust, legal exposure)
• Bias assessment toolkit with sample test cases for common municipal uses
• Vendor evaluation scorecard (pricing, data terms, audit rights, exit clauses)
• Public disclosure template for AI-assisted municipal decisions
• Compliance checklist mapped to Maine Right-to-Know law
• Pre-deployment review form for council or commission approval

Who should use this

Maine municipal leaders, town managers, IT directors, and council members evaluating AI in public services.

• Town managers and city administrators
• Municipal IT and procurement leads
• Council and commission members reviewing AI proposals

Key outcomes

After using this resource, you’ll be able to:

• Evaluate an AI vendor proposal against a documented public-sector rubric
• Identify civil-rights and Fair Housing exposures before deployment
• Build a defensible public disclosure record for AI-assisted decisions
• Satisfy Maine Right-to-Know obligations around algorithmic decision-making

How to use

Use the risk framework on every AI proposal that reaches your office, no matter how small. Walk vendors through the scorecard during procurement — vendor responses themselves are diagnostic. Adopt the public disclosure template once, and use it everywhere.