Risk

Quick Answer AI risk classification in 2026 means grouping AI use cases by the level of review, control, and monitoring they need before and after deployment. A low-risk internal writing assistant should not go through the same approval process as an AI system that influences hiring, lending, healthcare, security, legal advice, or customer-impacting automation. A practical classification framework looks at data sensitivity, decision impact, automation authority, user exposure, reversibility, regulatory context, and whether humans can review or override the output. ...