OVERVIEW: Public sector AI adoption is caught in a "regulatory paradox" - a strong federal push for rapid innovation occurring alongside a lack of clear roadmaps and regulations for information safety.
For records managers and archivists, this means that 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.
- Enforcing information minimization
- Implementing "need-to-keep" retention policies for AI tools
- Demanding privacy-preserving information architectures
- 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.
GARA CERTIFICATE CORE COMPETENCY AREA: "Record Considerations for Emerging Technologies"
PRESENTER: Nathan Wright, Senior Manager of Marketing, Iron Mountain Government Solutions
Nathan Wright is the senior manager of marketing for Iron Mountain Government Solutions. Residing in New York City, he has a passion for information-driven innovation, and has been experimenting with and driving AI adoption for nearly a decade.