Paige Nong, PhD

A Michigan-based deliberative study found strong public support for patient-informed artificial intelligence (AI) labeling in health care, emphasizing transparency, privacy, equity, and safety to build trust.

This study identifies limited engagement with equity among academic medical centers as they develop governance processes for artificial intelligence (AI)/machine learning and predictive technologies.

Patients are less comfortable with predictive models used for health care administration compared with those used in clinical practice, signaling misalignment between patient comfort, policy, and practice.