Model cards are a breakthrough for AI transparency—offering critical insights into how models were trained, their intended use, and their limitations. But transparency alone isn’t enough. To drive real-world results in healthcare, organizations need to move beyond reading model cards to actively using them for governance, compliance, and risk management.
Is your organization ready to turn model card transparency into operational advantage?
Join Dave Trier, VP of Product at ModelOp, and Amanpreet Kaur, Ph.D., Implementation Engineer, for a 30-minute session focused on bridging the gap between documentation and action. You’ll learn how leading healthcare organizations are importing model cards, integrating them into compliance workflows, and automating governance processes to scale AI safely and efficiently. See how to turn transparency into a practical, repeatable process that accelerates responsible AI deployment.
🔍 What You’ll Learn:
- How to import and evaluate model cards—including those from CHAI and other healthcare standards bodies
- Why transparency isn’t enough—and how to use model cards in real governance workflows
- How to centralize model tracking for compliance, audits, and risk reporting
- Ways to automate governance processes without slowing down AI adoption
- What leading healthcare teams are doing to scale AI responsibly and efficiently