法律 AI // 资讯总览
需要被持续追踪的
法律 AI 信号。
本期索引按监管、判例、实务与研究归档;可依主题或关键字定位已发布记录。
法律 AI // 资讯总览
本期索引按监管、判例、实务与研究归档;可依主题或关键字定位已发布记录。
原题: Partnering with Accenture on embedded evaluation
Anthropic宣布与埃森哲合作,对其前沿AI模型开展独立嵌入式评估,由埃森哲旗下AI专业公司Faculty牵头,内容包括模型评估与红队测试、对齐评估及安全措施测试。双方拟在未来五年各投入至少10亿美元建设评估能力。嵌入式评估人员将在AI公司内部以接近员工的权限开展工作,观察模型训练过程并监督安全承诺落实。由于目前尚无访问标准、报告机制及独立评估的成熟资助体系,Anthropic将直接资助埃森哲的工作,并与METR等非营利评估机构试点合作。该合作为非独家性质。
展示来源全文,完整内容以原文页面为准。
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.
前沿AI企业内部嵌入式独立评估的访问权限、报告机制与资金安排缺乏统一标准,其独立性与法律责任边界尚不明确。
文书与研报规范引注
《Anthropic携手Accenture推进前沿AI嵌入式独立评估》(来源: RSSHub-Anthropic-News,发布日期: 2026/09/19,访问链接: https://www.anthropic.com/news/accenture-embedded-evaluation)