Summary
Series of consensus-based Best Practice Guides and Testing & Evaluation (T&E) frameworks that apply CHAI’s Responsible AI principles to four concrete health AI use cases, defining recommended practices and evaluation methods for developers and implementers.
Healthcare Implications
The guides and T&E frameworks give health systems, payers, and vendors detailed, use-case-specific methods and metrics to evaluate safety, bias, transparency, and clinical usefulness of AI tools in common workflows like patient-facing chatbots, prior authorization, EHR information retrieval, and clinical decision support, helping organizations operationalize responsible AI governance beyond high-level principles.