Why do we need responsible use labels for AI systems in health care settings? In a health setting, we have an interesting situation where doctors often rely on technology or treatments that are ...

Artificial intelligence (AI) governance is a tricky topic in the health care industry. Stakeholders must collaborate to set reasonable ground rules for the novel technology—but that transparency can ...

These labels would provide essential information to healthcare providers, patients, and health systems, helping to reduce the risks of AI misuse and promote fair healthcare outcomes. The study ...

Dr. Brian Anderson of the Coalition for Health AI said there is "a real urgency" to ensure AI models are managed "robustly and appropriately." ...

“I am thrilled to see our health AI nutrition label advancing effective and responsible health AI,” said Brian Anderson, CHAI’s CEO. “By integrating this with Elion, we are enabling health ...

AI is making its way into women's health in unusual ways, from a sanitary napkin that can predict ovarian cancer to an ...

Medication mistakes — in which the wrong drug or the wrong dose is given to a patient — are among the most common errors in ...

To facilitate robust evaluation and accelerate adoption of successful AI solutions, CHAI developed an Applied Model Card framework, and recently established its first Model Card registry to support ...