Our Grants

Explainability and Trade Secrecy in AI-Enabled Clinical Decision Software

Arti Rai, JD
Duke Law School
Grant Type Making a Difference
Grant Cycle fall 2018
Duration 1 year
Amount $196,605

The goal of this study is to craft empirically grounded, practical policy proposals that address tensions between ethical needs for explainability and legitimate commercial needs for trade secrecy raised by AI-based clinical decision software, including diagnostic, treatment, and predictive software. The study will examine both AI-enabled software that is regulated as a medical device by the FDA as well as unregulated software.