Trust is difficult enough in an environment with strict controls and security; AI adds dimensions that make establishing trust even more challenging in the public sector. Over the last decade, if we have learned anything, it’s that check box solutions never work.
This week on Feds At the Edge, we break down what it takes to build trustworthy AI in high-stakes government environments. From model transparency and “model cards” to the risks hidden in data and the importance of context, they explore how leaders can evaluate trust across the model, the data, and the monitoring processes.
Tune in on your favorite podcast platform to learn why continuous monitoring, strong governance, and thoughtful implementation are essential, and how agencies can move beyond checkbox compliance to deploy AI with confidence.
To view this webinar: Embedding Trust into AI for the Public Sector.
Featured Speakers:
Assistant Director for Catalytic Data Resources,
NIH Common Fund Office of Strategic Coordination
