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    Anthropic and Accenture pioneer 'embedded evaluation' partnership worth $1B+ for AI governance

    Anthropic sets a $1B+ precedent for AI governance by embedding independent evaluators inside the company with near-employee access.

    Illustration: Anthropic and Accenture pioneer 'embedded evaluation' partnership worth $1B+ for AI governance
    AI illustration generated from this story — not a photograph of the event.
    Key takeaways
    • 01Anthropic and Accenture are piloting "embedded evaluation"—a model where independent auditors work inside an AI lab, observe training in real time, and verify safety commitments rather than reviewing outputs after the fact.
    • 02Faculty, Accenture's AI unit, will lead red-teaming, alignment assessments, and safeguard testing.
    • 03Each party commits at least $1B over five years.
    • 04No industry standards yet exist for access rights, reporting, or funding—Anthropic acknowledges the framework remains a work in progress.
    Koko brief

    Anthropic sets a $1B+ precedent for AI governance by embedding independent evaluators inside the company with near-employee access.

    Anthropic and Accenture are piloting "embedded evaluation"—a model where independent auditors work inside an AI lab, observe training in real time, and verify safety commitments rather than reviewing outputs after the fact. Faculty, Accenture's AI unit, will lead red-teaming, alignment assessments, and safeguard testing. Each party commits at least $1B over five years. No industry standards yet exist for access rights, reporting, or funding—Anthropic acknowledges the framework remains a work in progress. **Watch:** Whether rival frontier labs adopt comparable embedded-auditor structures, or treat this as a competitive differentiator to resist.

    Watch: Whether rival frontier labs adopt comparable embedded-auditor structures, or treat this as a competitive differentiator to resist.

    In brief · from anthropic.com

    We're partnering with Accenture on independent evaluation of frontier AI. This is an important step toward the commitment, made in our CEO’s essay “We Must Pace the Frontier,” to embed evaluators within Anthropic. The partnership will be led by Faculty, Accenture’s specialist AI business, and will include evaluating and red-teaming models, conducting alignment assessments, and testing model safeguards. Accenture helps businesses and governments deploy AI across many industries.

    Read the full article at anthropic.com
    Show the full text · 3 min read

    We're partnering with Accenture on independent evaluation of frontier AI. This is an important step toward the commitment, made in our CEO’s essay “We Must Pace the Frontier,” to embed evaluators within Anthropic. The partnership will be led by Faculty, Accenture’s specialist AI business, and will include evaluating and red-teaming models, conducting alignment assessments, and testing model safeguards. Accenture helps businesses and governments deploy AI across many industries. Their understanding of how enterprises use AI in practice informs their safety approach, and they will bring that perspective to evaluating our models. Anthropic and Accenture each expect to invest at least $1 billion in building capacity in this area over the next five years. Embedded evaluation is new, and many of the details about how it will operate are still being worked out. Unlike today’s external evaluators, embedded evaluators will work inside AI companies, with access comparable to an employee's. That access allows them to watch models take shape in training, follow the decisions that govern how those models are built and deployed, and speak directly to employees. From this vantage point, embedded evaluators can assess how a company operates, verify that it is keeping its safety commitments, and identify blind spots. They can also report incidents and give the public a more informed account of benefits and risks. To be clear, independent embedded evaluators do not reduce our accountability, but help to make it more verifiable. The safety of our models remains our responsibility. There are, as yet, no standards for what information embedded evaluators should have access to, or how they should report what they find. There is also no settled system for funding independent evaluation. Long-term, we think funding should come from pooled or government sources, as we called for in our Advanced AI Framework in June. As neither exists today, we plan to work with different evaluators under different funding arrangements. Given the importance and urgency of this work, Anthropic will fund Accenture's work directly. We are also in dialogue with METR and other nonprofit evaluators to pilot elements of embedded evaluation using their own funding. Ultimately, we believe frontier AI needs an ecosystem of evaluators operating with shared standards. We expect frontier labs to work with several organizations at once. Our partnership is non-exclusive; Anthropic will work with other evaluators to be announced in the coming weeks, and Accenture will work with other AI developers in similar capacities. We'll continue to train and release frontier models, and we want independent evaluators working alongside us as we do. We’re sharing these early efforts now so people and other AI developers can see our process. We expect our approach to evolve as the field matures, and we’ll share more as our work begins and as we bring on additional evaluators. Related content Introducing the Life Sciences Verification Program The Life Sciences Verification Program (LSVP) gives life science professionals access to Claude Mythos, Opus, and Sonnet models with a refined set of safeguards more permissive for biology-related work. Read more Developing Enterprise Frontier Safeguards with our customers Read more Improving our alignment and security efforts On July 30, we reported three incidents in which Claude models gained unauthorized access to real computer systems. We are conducting an in-depth analysis of both incidents, and planning to work with METR for an independent review. In the meantime, we’re sharing some of the changes we’ve made over the past month. Read more

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