Third-Party Oversight

Third-party oversight refers to the set of controls an organization uses to monitor, assess, and manage the AI vendors, model providers, and outside service providers it depends on. When a company buys or licenses AI tools from others, it often remains legally and reputationally responsible for outcomes like biased decisions, data leaks, or regulatory violations. For compliance and risk leaders, this means verifying vendor practices through contracts, audits, documentation requests, and ongoing performance reviews rather than relying on a supplier's marketing claims.

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Corporate PolicyUS2026-10-15

Anthropic Gives METR Researchers Full Internal Access With Veto-Free Publication Rights

Anthropic is embedding six researchers from METR, an AI safety nonprofit, inside the company with access equivalent to its own internal risk teams. The arrangement creates a three-tier independent evaluator structure, with METR holding the right to publish safety findings without Anthropic approval. The arrangement is part of a broader White House accord also signed by OpenAI, Google, Meta, Nvidia, and xAI.

Anthropic independent auditing AI safety model evaluation third-party oversight vendor due diligence White House AI accord METR