Workshop Papers
Spotlight
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.
News
A new coalition aims to close AI’s credibility gap in medicine with testing and oversight
STAT News, December 7, 2022
For Digital Health Innovator, Native Roots Instilled Love of Science
MITRE, November 29, 2022
Does Ethical AI Development Rely On The “Algorithmically” Underserved? CHAI’s Mission
Forbes, November 29, 2022
Coalition for Health AI Updates Progress and Plans to Issue Guidelines for the Responsible Use of AI in Healthcare
CHAI Blog, October 6, 2022
Getting the Best out of Algorithms in Health Care
ONC Buzz Blog, June 15, 2022
Health-related AI needs rigorous evaluation and guardrails
STAT News, First Opinion, March 17, 2022