AI Meets Information Governance in the Public Sector

Public sector AI adoption is caught in a "regulatory paradox": a strong push for rapid innovation occurring alongside a lack of clear roadmaps and regulations for information safety. Data privacy regulations remain in full force.

For government information owners, the burden of responsibility for information governance has landed squarely on your shoulders. To innovate and modernize while keeping your information safe, you need a responsible information governance model that ensures only high-quality, compliant data is available for AI tools.

During this session, we’ll explore the four immediate steps you can take to ensure your agency’s AI adoption is secure, compliant, and trustworthy.

1. Enforcing information minimization

2. Implementing “need-to-keep” retention policies for AI tools

3. Demanding privacy-preserving information architectures

4. The importance of keeping a human in the loop

The AI-regulation landscape may be shifting, but the ethical imperative remains constant. By prioritizing robust information governance, you do more than just avoid penalties - you build the public trust necessary to unlock the true transformative potential of AI.

This webinar is brought to you by NACo EDGE, establishing people, purchasing, and performance cost-saving solutions that can be applied to counties nationwide. EDGE is owned by NACo, advised by county leaders and 100% focused on solutions for U.S. Counties. Learn more about NACo EDGE here.