Managing AI Model Evolution While Maintaining Regulatory Control
- Recognize risks introduced by model drift, data drift, and real-world performance degradation
- Identify and manage governance challenges with rapidly iterating AI versions and generative tools
- Learn monitoring strategies for “unlocked” or adaptive models in the post-market phase
- What performance, safety, and usage signals regulators increasingly expect teams to track