OpenAI Proposes Frontier AI Safety Framework Granting Executive Veto Power

OpenAI published safety guidance principles requiring structured safety case documentation before starting reinforcement learning training for frontier AI models. Under the proposal, multiple senior executives—including research heads, safety leads, and the chief scientist—must review training plans, and each possesses individual veto power to halt training. This move marks a shift in internal AI safety protocols by directly linking executive performance evaluations to safety accountability and accident response. As AI agents gain access to sensitive environments, introducing automated training pauses for unacknowledged alerts creates stricter internal safeguards across the frontier AI ecosystem. The framework mandates that if high-priority safety alerts are not confirmed within specified timeframes, affected training tasks will automatically pause. Training workflows must also track all downstream uses of unaligned model outputs, such as data generation or scoring, to neutralize potential negative impacts.