Anthropic 咨询律所，为 AI 智能体议价制定公平谈判规范
Anthropic consults law firms to set fair negotiation norms before AI agents start cutting deals
Anthropic 正与律所合作，为替用户议价、处理投诉或改善合同报价的 AI 智能体制定公平谈判规范。据《金融时报》报道，该公司已在实验中显示更强模型能谈成更好的交易，这可能扩大社会不平等。Anthropic 还在招聘具律师背景的 Conceptual Reasoning Fellows，用四个月时间在法律、哲学、认知科学、经济学和政治学等判断密集型问题上测试 Claude，薪酬为 10 万至 16.7 万美元。
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从数据与评测缺口解释 Anthropic 为何先请律师定规则，可看到智能体进入交易场景前的前置准备。
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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."