Workshop Papers
Spotlight
The Coalition for Health AI (CHAI™) 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 V1.0 for public review and comments. Please review and submit feedback by May, 5 2023.
Other
The Coalition for Health AI (CHAI™), 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”.
The Coalition for Health AI (CHAI™), 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 (CHAI™), 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 (CHAI™), 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.