The Human Factors and Ergonomics Society (HFES) has joined the U.S. Department of Commerce's National Institute of Standards and Technology's (NIST) AI Safety Institute Consortium.
The society highlighted that this will make way for developing a new measurement science to promote trustworthy and responsible use of AI systems.
The consortium aims to address challenges outlined by NIST in 2023 as well as a 2023 executive order on safe, secure, and trustworthy AI. HFES said the institute's work will allow for the development and deployment of safe and trustworthy AI systems through the AI Risk Management Framework.
![A normal mammogram confirmed by three-year radiologic follow-up illustrates reader-marked regions of interest (ROIs) during (A) unaided (round 1) and (B) artificial intelligence (AI)–assisted (round 2) reading. Each colored dot represents an ROI for recall by a human reader. Readers could mark more than one ROI per case, represented by multiple dots of the same color. During AI-assisted reading, the AI system displayed three visible prompts: two with suspicion of malignancy scores of 35% (left mediolateral oblique [L MLO] and craniocaudal [L CC]) and one with a suspicion of malignancy score of 10% (right craniocaudal [R CC]), shown as polygonal overlays. Without AI, six of 10 readers (60%) marked a false-positive ROI. With AI assistance, this fell to two of 10 (20%). R MLO = right mediolateral oblique.](https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/07/2026-07-14-radiology-mammogram-ai-auto-bias.H0bYO8QlWs.jpg?auto=format%2Ccompress&dpr=2&fit=crop&h=167&q=70&w=250)
