Workshop Papers

Spotlight

Feedback Requested!

The Coalition for Health AI is working to develop guidelines to drive high-quality healthcare through the adoption of credible, fair, and transparent health AI systems. We offer a draft blueprint for trustworthy AI implementation guidance and assurance for healthcare for public review and comments. Please review and submit feedback by Feb. 1, 2023.

Other

New Paper!

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, “Reliability & Monitoring”.

New Paper!

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”.

Reviewed

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.

Reviewed

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.