Artificial intelligence (AI) is rapidly transforming how local governments operate—from automating administrative tasks to enhancing public safety and improving service delivery. But as these technologies become more embedded in public systems, so too does the need for thoughtful governance.
AI offers tremendous promise, but it also raises important questions about fairness, accountability, transparency, and privacy. Without clear ethical guidelines and oversight, even well-intentioned AI applications can lead to unintended consequences, such as biased decision-making or erosion of public trust.
Why AI Governance Matters
AI systems often make decisions that affect people’s lives—whether approving permits, prioritizing maintenance, or analyzing public data. Local governments must ensure these systems are used responsibly and align with community values.
Good governance helps:
- Prevent misuse or overreach.
- Ensure transparency in how decisions are made.
- Protect civil liberties and privacy.
- Build public confidence in digital services.
Key Elements of an AI Governance Framework
1. Ethical Principles
Start with a clear set of guiding values—such as fairness, accountability, transparency, and respect for individual rights. These principles should inform every stage of AI development and deployment.
2. Oversight and Accountability
Establish internal oversight bodies or designate responsible officials to review AI projects. Oversight should include legal, technical, and community perspectives to ensure balanced decision-making.
3. Risk Assessment
Before deploying AI, assess potential risks—such as bias, data privacy concerns, or unintended consequences. Consider how the system might impact different populations and whether safeguards are in place.
4. Transparency and Explainability
Residents should understand how AI systems work and how decisions are made. Use plain language to explain what data is collected, how it’s used, and what rights individuals have.
5. Public Engagement
Involve the community in discussions about AI use. Public input can help shape policies, identify concerns, and ensure that technology serves the public interest.
6. Training and Capacity Building
Ensure staff and leadership understand AI capabilities and limitations. Provide training on ethical considerations, data stewardship, and responsible procurement.
Tools and Frameworks to Guide Implementation
Local governments can draw from established frameworks to guide their AI governance efforts, including:
- NIST AI Risk Management Framework: Offers a structured approach to identifying and managing AI risks.
- OECD AI Principles: Promote inclusive growth, human-centered values, and transparency.
- State and local AI task forces: Some jurisdictions have developed their own guidelines tailored to municipal needs.
These resources can help governments build policies that are both practical and principled.
AI is not just a technical tool—it’s a governance issue. As local governments adopt AI to improve services and efficiency, they must also ensure that these technologies are used ethically and transparently. By establishing clear frameworks, engaging the public, and investing in oversight, municipalities can harness the benefits of AI while safeguarding public trust.
Local Government Cybersecurity Alliance 