Workshop Papers

The Coalition for Health AI, with funding from the Gordon and Betty Moore Foundation, is developing a consensus-driven framework to drive high-quality health care through the adoption of credible, fair and transparent health AI systems. The coalition is convening a series of virtual workgroup sessions to define core principles and has published a readout, “Transparency”.

The Coalition for Health AI, with funding from the Gordon and Betty Moore Foundation, is developing a consensus-driven framework to drive high-quality health care through the adoption of credible, fair and transparent health AI systems. The coalition is convening a series of virtual workgroup sessions to define core principles and has published a readout from its second meeting, “Testability, Usability, and Safety,” for public review and comments by October 14.

The Coalition for Health AI, with funding from the Gordon and Betty Moore Foundation, is developing a consensus-driven framework to drive high-quality health care through the adoption of credible, fair and transparent health AI systems. The coalition is convening a series of virtual workgroup sessions to define core principles and has published a readout from its first meeting, “Bias, Equity, and Fairness,” for public and comments by Sept. 30.