OpenAI chief global affairs officer Chris Lehane called for mandatory national AI safety requirements in a blog post published Wednesday, while OpenAI supported four California bills, including a framework for independent safety assessments; two additional California bills were signed into law the same day. OpenAI also offered to work with other frontier laboratories on shared safety standards, capability measurement, risk management, and preserving human control.[1]
For a lunar civilisation, independent assessment is a control against opaque model failures, capability escalation, cyber compromise, and loss of human authority in systems governing habitats, robotics, power, communications, medical operations, and archival integrity. The article’s enterprise guidance—risk-tier AI use, add protections before legislation arrives, and require independent assessment during third-party procurement—maps directly to an Ark architecture in which high-consequence models cannot be trusted solely on vendor claims.[1]
The Ark team should establish a mandatory pre-deployment assessment gate for every frontier model, classify applications by consequence and reversibility, require evidence of adversarial testing and human override, and maintain model provenance and version records for 1,000 years. Monitor California’s independent-assessment framework, emerging national requirements, OpenAI’s cross-lab standards work, and whether assessments cover autonomy, deception, cyber capability, shutdown resistance, and long-duration offline operation.[1]