Algorithmic bias is a systematic deviation in a model’s predictions or outcomes for certain people or groups compared with others. The concern is unwanted bias that places some groups at systematic advantage and others at systematic disadvantage, which is a central risk when AI is applied across diverse patient populations.
Sources: FDA Digital Health and AI Glossary; IMDRF N67 (2022); NIST AI Resource Center Glossary