Providing guidelines for the
Draft Responsible Health AI Framework
We’ve drafted a framework for responsible health AI with an invitation for public review and comment. The framework, consisting of a Responsible AI Guide, provides considerations to ensure standards are met in the deployment of AI in healthcare. This draft framework was created with a consensus-based approach, drawing upon the expertise and knowledge of multiple, diverse stakeholders from across the healthcare ecosystem.
A set of draft companion documents, called The Responsible AI Checklists, provides criteria to evaluate standards across the AI lifecycle; from identifying a use case and developing a product to deployment and monitoring.
our philosophy on AI model evaluation
Developer’s Responsibility: Evaluate the AI model thoroughly before deployment to ensure it meets safety and performance standards.
End-User’s Responsibility: Conduct local evaluations to ensure the AI tool fits the specific needs and conditions of the health system.
End-User’s Monitoring Responsibility: Monitor AI tool performance over time, ensuring it remains effective and adapting to any changes in conditions.
AI That Serves All of Us
Our coalition intends to develop a framework with Health Equity in mind, aiming to address algorithmic bias.
We created the Coalition for Health AI (CHAI™) to welcome a diverse array of stakeholders to listen, learn, and collaborate to drive the development, evaluation, and appropriate use of AI in healthcare.
Founding Partners
