AI Oversight

human control of ai stanford oversight blueprint a two board game meeples side by side

A Blueprint for Keeping Humans in Control of AI: Inside Stanford’s Two Oversight Papers

Stanford GSB researchers William Overman and Mohsen Bayati have published two frameworks for keeping humans in control of AI agents: the Oversight Game, which teaches an agent when to ask and a human when to step in, and Calibrated Collective Oversight, which lets weaker overseers hold a stronger model to a target rate of unsafe actions. We read both papers, set their numbers against the press summary, and turn them into a deployment blueprint.

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AI Oversight: 4 Failure Modes That Are Quietly Undermining Your AI Systems

AI Oversight: 4 Failure Modes That Are Quietly Undermining Your AI Systems

AI Oversight has rapidly become one of the most important disciplines in enterprise artificial intelligence as organizations increasingly deploy AI across business operations, software development, cybersecurity, customer service, healthcare, finance, manufacturing, and decision support systems. While modern AI models continue achieving remarkable improvements in reasoning, automation, prediction, and content generation, many organizations underestimate the importance […]

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