Anthropic 选择埃森哲进行嵌入式 AI 评估，以应对放缓计划

Anthropic selects Accenture as its first "embedded evaluation" partner to promote AI security

Anthropic has selected Accenture as its first "embedded evaluation" partner. The move marks a shift from Anthropic's broad commitment to independent oversight to implementing specific security plans designed to keep pace with the rapidly iterative development of AI models. The move follows Anthropic CEO Dario Amodei's previous initiative to call on the industry to take measures to slow AI's "cutting-edge" progress and make room for security measures.

In a three-step proposal released on September 12, Amodei pointed out that AI systems can accelerate progress through recursive self-improvement; if not controlled, this effect may lead to technological development beyond human understanding and control. He emphasized that security measures should be implemented simultaneously with the development process, rather than as an afterthought.

Core Points

• Collaboration content: Anthropic said it will work with Accenture's AI business unit to evaluate models, conduct red team testing, and test security measures as part of its embedded evaluation program.
• Access: Accenture is expected to provide assessors with employer-like access, reflecting Amodei's first step towards stronger independent oversight.
• Funding: According to Anthropic's announcement, Anthropic and Accenture each expect to invest at least US$1 billion over the next five years.
• Mechanism is being improved: 由于嵌入式评估被视为一个新领域，该项目的具体运作机制仍在最终确定中。
• 资金支持：Anthropic 表示将在短期内直接资助埃森哲的工作，理由是目前缺乏为独立评估融资的现有体系。

从 Amodei 的减速提案到具体的评估伙伴

Amodei 于 9 月 12 日提出的方案主要围绕随着模型迭代加速而日益严峻的安全担忧展开。他强调了 AI 能力可能加速后续代际 AI 创建的现象，称之为“递归式自我改进”。在他看来，这一过程产生的结果可能会比治理和控制机制的发展速度更快。

尽管该提案在 AI 行业引起了广泛关注，但反应不一。据原始报道引用的社交媒体帖子显示，OpenAI CEO Sam Altman 和 SpaceX CEO Elon Musk 对 Amodei 的方法表示了积极回应。然而，Nvidia CEO Jensen Huang 据报道则认为此类监管是不必要的，正如源材料中引用的 CNBC 报道所指出的那样。

在此背景下，Anthropic 宣布埃森哲为首个嵌入式评估伙伴，最好被理解为将 Amodei 计划部分落地的尝试。核心理念是：独立评估应拥有更接近内部团队的访问模式，以便评估人员能够在现实条件下测试系统，而不是依赖有限或纯粹的外部审查。

“嵌入式评估”涵盖的范围

Anthropic said Accenture and its AI business unit Faculty will assist in "evaluating and red-team testing models, conducting aligned evaluations and testing model security measures." The company also noted that implementation details of the plan are still being worked out and emphasized that embedded evaluation is an emerging practice.

This focus on development is significant to investors and builders because it shows that the framework has not yet been standardized. For companies trying to meet security expectations, the lack of mature procedures can lead to uncertainty about what constitutes a "good" evaluation in practice-especially when the evaluation includes alignment checks and safeguard testing.

This also highlights a practical shift: the partnership aims to build evaluation capabilities that can run in parallel with model development, rather than treating security testing as an isolated phase. Sources also pointed out that embedded evaluation is already part of Anthropic's internal roadmap, but the partnership with Accenture is aimed at accelerating implementation.

Funding, Access and Future Outlook

Anthropic's announcement puts financial support at the heart of the plan. Anthropic and Accenture each expect to invest at least $1 billion over the next five years, according to a company statement. The partnership has also been described as non-exclusive, and Anthropic expects to appoint more assessment agencies in the coming weeks.

公司进一步表示，目前尚无建立独立的评估资金机制，长期支持可能需要来自 pooled resources（资源池）或政府来源。尽管如此，鉴于 Anthropic 所强调的紧迫性，它计划短期内直接资助埃森哲的工作。

对于市场参与者来说，这种结构提出了一个重要问题：独立评估是否会成为一个可扩展的、持续的“行业职能”，还是将继续依赖于少数资源充足的实验室和承包商？Anthropic 的计划表明其意图推动前者成为主流，但对现有资金系统缺失的认可表明该领域仍存在制度性空白。

埃森哲通过其领导层的声明，将该工作定位为构建下一代评估能力的一部分。公告引用了埃森哲 Faculty 的经验，即曾为主要的 AI 实验室测试和评估模型，并开发旨在通过设计实现更安全的复杂 AI 系统。

超越 AI 头条新闻的意义

虽然故事聚焦于 AI，但其背后的问题——如何比能力的演变更快地建立可信的监督——也与加密市场广泛相关。许多区块链和去中心化系统越来越依赖 AI 辅助的自动化、监控和工具。当安全和评估框架处于变动之中时，将 AI 整合到金融或基础设施工作流程中的团队可能会面临额外的合规性和风险问题。

Anthropic's choice to fund and implement embedded evaluations also heralds a shift in the competitive dynamics within the broader technology stack: Security is increasingly not seen just as a policy commitment, but as an engineering plan with measurable activities such as red team testing, alignment evaluation, and safety measure testing. Whether this will become an industry standard will likely depend on whether embedded evaluation methodologies can be clearly standardized and verified over time.

Readers should pay attention to whether Anthropic will expand the program by adding more evaluation agencies, and whether the partnership will publish enough details to allow outsiders to assess how "employee like access" is implemented in practice. The biggest open issue at present lies at the methodological level: embedded evaluation is new, and the effectiveness of security measures will depend on the structural arrangements of the project when it is expanded.