AI Governance Failures: Lessons From Real-World Examples
Artificial intelligence systems increasingly influence who gets a loan, which patients receive attention, how public benefits are assessed, and what information citizens see. When these systems fail, the problem is rarely only technical. Most serious AI failures reveal weaknesses in governance: unclear accountability, poor oversight, weak transparency, inadequate testing, and a failure to consider how automated decisions affect real people. Read more