Human Oversight

Human oversight is the practice of keeping humans meaningfully involved in the decision-making loop of high-stakes AI applications so they can catch errors, override inappropriate actions, and maintain accountability. As AI systems become more autonomous, designing effective oversight mechanisms — ranging from approval checkpoints to audit trails to anomaly alerts — becomes more challenging. AI safety researchers argue that maintaining robust human oversight is especially important during the current period when alignment techniques are still maturing.