Takeaways from FDA AI/ML Transparency Workshop
Two Morrison Foerster attorneys say an FDA 10/14 virtual public workshop focused on the role of transparency in enhancing the safe and effective use of AI/ML (artificial intelligence/machine learning) technology in the medical device space, with an emphasis on information-sharing methods for patients, caregivers, and providers. The attorneys list these five workshop takeaways:
- cultivating user awareness for both patients and healthcare providers will be a key area of focus for AI/ML-enabled device manufacturers and regulators going forward;
- transparency and effective communication of AI/ML medical device labeling will be important to consider for all user types;
- bias and systemic discrimination remain persistent issues in the AI/ML space;
- inequality, from both a patient and a manufacturer perspective, was a key workshop conversation topic; and
- transparency surrounding tracking and reporting of device errors or malfunctions will be an important discussion topic as AI/ML-enabled devices are made available.