Anthropic and OpenAI want to embed safety evaluators. Will they really be independent?
The proposal involves third-party evaluators inside AI firms, with power to report safety incidents and assess model alignment. The plan is still developing and faces questions about independence.

Anthropic and OpenAI are proposing the embedding of third-party safety evaluators within their organizations, a move that could significantly alter how AI companies operate. The evaluators would have the authority to report safety incidents, assess whether AI models are truly aligned with ethical and safety standards, and share their findings with the public. This proposal, outlined in a detailed essay by Anthropic CEO Dario Amodei, marks a shift in the AI industry's approach to oversight and transparency.
The idea of embedding independent evaluators has gained traction as concerns around AI safety and alignment continue to grow. Amodei's essay, published over the weekend, highlights the need for external oversight to prevent companies from reverting to less stringent practices during PR crises or other high-pressure situations. OpenAI has also signaled its commitment to the practice, indicating a potential industry-wide shift toward greater transparency and accountability.
The proposal includes a specific reference to the number 09, which appears in the context of the essay's publication date and the broader timeline of events. A key quote from the discussion emphasizes the importance of regulation in ensuring that these evaluators remain independent and effective. As noted, 'Ideally, we would have good regulation mandating this…because then companies cannot change their mind tomorrow if they have a big PR crisis.' This highlights the ongoing debate over how to structure such oversight mechanisms.
The potential consequences of embedding independent evaluators include increased costs for AI companies, the risk of vendor lock-in if evaluators are tied to specific organizations, and challenges in governance and compliance. Market reactions could vary, with some stakeholders viewing the move as a positive step toward accountability, while others may raise concerns about the practicality and enforceability of such a system. The long-term impact on the AI industry remains to be seen.
The proposal is still in its early stages, and the industry's response will likely shape its future. While Anthropic and OpenAI have taken the initiative, the broader AI community and regulatory bodies will play a crucial role in determining how these evaluators are structured and implemented. The outcome of this effort could set a precedent for how AI safety and oversight are managed in the years to come.