Anthropic 与 Accenture 合作开展前沿模型嵌入式评估
Partnering with Accenture on embedded evaluation \ Anthropic
Anthropic 宣布与 Accenture 合作,对其前沿模型开展独立评估,由 Accenture 旗下 AI 业务 Faculty 牵头,内容包括模型评估与红队测试、对齐评估和模型防护措施测试。双方预计未来五年各投入至少 10 亿美元建设相关能力,Anthropic 将直接出资支持 Accenture 的工作,同时正与 METR 等非营利评估机构洽谈以自有资金试点嵌入式评估。嵌入式评估者将进入 AI 公司内部,拥有与员工相当的访问权限,可观察模型训练过程、了解构建与部署决策并直接与员工沟通;该合作非排他,Anthropic 将在未来几周公布其他评估方。
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Anthropic 首次披露嵌入式评估的合作方式与出资安排,读者可了解前沿模型独立评估的一种新组织形态。
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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.