We're sharing our framework for building safer and more helpful AI for health.
Many of us have turned to AI with a health question or received care from a doctor who’s using it. The adoption of technology for health is accelerating and impacts bill…
The article <source 0f324abf-0f3> details a new framework developed by an organization to ensure AI tools used in healthcare are both safe and effective. Many individuals now seek medical advice through AI systems, and the rate of technology adoption in healthcare is rapidly growing, impacting millions worldwide. Recognizing the importance of evaluating these AI applications, the organization collaborated with renowned health experts Dr. Elizabeth McGlynn and Dr. Dana Gelb Safran.
Together, they authored a whitepaper outlining an end-to-end evaluation approach to scrutinize AI solutions designed to address health concerns. The framework scrutinizes models across three crucial dimensions: accuracy, safety, and usefulness. To assess various scenarios, it integrates closed-question benchmarks, autoraters, and expert human review.
The organization employs this framework to determine if their models generate reliable, precise responses that foster secure interactions within healthcare settings. By disclosing this methodology, they aim to enhance transparency in their approach and encourage the broader health ecosystem—including developers, researchers, and clinicians—to construct AI tools that users can confidently rely on.
Written by urgent.news from Google Blog's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
