OpenAI has published a new framework detailing how structured “safety cases” its framework will be . It is a comprehensive, evidence-backed risk mitigation and governance model which will be mandatory before proceeding with any frontier reinforcement learning training. The guidelines outline three core technical layers: alignment safeguards to prevent reward hacking, hardened infrastructure containment sandboxes, and immutable transcripts for robust incident tracking. The operational protocol introduces stringent accountability measures, including mandatory dissenting safety reviews by independent teams and executive veto powers over model development runs.

Full framework : Drawing inspiration from high-risk industries like aviation and nuclear power, OpenAI outlines a rigorous governance model requiring evidence-backed safety documentation before continuing advanced reinforcement learning runs.