Anthropic 咨询律所，为 AI 智能体交易谈判制定公平规范
Anthropic consults law firms to set fair negotiation norms before AI agents start cutting deals
AI 导读
Anthropic 正与律所合作，为替用户砍价、处理投诉或争取更优合同条款的 AI 智能体制定公平谈判规范。
摘要与补充说明
该公司实验显示，更强的模型能谈成更有利的交易，这可能加剧社会不平等。Anthropic 同时在招聘具备律师背景的 Conceptual Reasoning Fellows，以 10 万至 16.7 万美元的薪酬进行为期四个月的测试，评估 Claude 在法律、哲学、认知科学、经济学和政治学等重判断领域的能力。这一举措源于数据瓶颈：数学和代码领域有充足且易生成的可验证数据，而人文学科缺乏明确的对错标准，Anthropic 需要专家构建测试用例与评估体系来提升 Claude 在这些领域的表现。
正文
Anthropic is figuring out how AI agents could negotiate on behalf of users. According to the Financial Times, the company is consulting with law firms to develop fair negotiation norms for AI agents that would haggle over prices, resolve complaints, or improve contract offers. Anthropic has already shown in experiments that stronger models negotiate better deals, which could widen societal inequality.
This isn't new territory. Anthropic is already hiring Conceptual Reasoning Fellows, specifically lawyers. The fellows will spend four months testing Claude on judgment-heavy questions in law, philosophy, cognitive science, economics, and political science for $100,000 to $167,000.
The push traces back to a data problem. In math and code, improving AI models is relatively easy because verifiable data is plentiful or easy to generate. In the humanities, that data doesn't exist, partly because right and wrong answers are rarely clear-cut. Anthropic needs experts who can build test cases and evaluations to make Claude stronger in these areas. Justin Curl, a member of technical staff researching law, institutions, and AI at Anthropic, argues that in law it's "notoriously hard to define quality."
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