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The Decoder:AI News· Matthias Bastian·· 15 天前AI 评分47

Anthropic 咨询律所,为 AI 智能体商务谈判制定公平规范

Anthropic consults law firms to set fair negotiation norms before AI agents start cutting deals

文章要点
  • 1据《金融时报》报道,Anthropic 正咨询律所,为代用户谈价格、处理投诉、优化合同的智能体制定公平谈判规范
  • 2Anthropic 实验显示更强模型能谈成更好的交易,这可能扩大社会不平等
  • 3Anthropic 招聘律师研究员,四个月用法律、哲学等判断型问题测试 Claude,报酬 $100,000 至 $167,000
  • 4动因是数据问题,数学和代码有可验证数据,人文领域对错难界定;其研究员称法律领域极难定义质量
决策要点

Anthropic 在智能体正式替人谈判前先建规则,实质是把模型能力向法律等判断型领域扩展,并试图预防谈判力差距带来的不公平。

  • 影响:采购议价、投诉处理和合同谈判可能逐步出现 AI 对手方;模型越强谈成的条件越好,强弱差距或影响交易公平;判断型评测人才稀缺,相关招聘成本不低。
  • 参考:可考虑盘点自家采购、客服投诉与合同环节中适合交给智能体或可能遇到对手方的场景;值得跟踪公平谈判规范的成形进度,预留合同条款调整空间。
  • 依据:Anthropic 咨询律所一事源自《金融时报》报道;谈判力差距来自 Anthropic 自家实验口径,暂无独立验证。
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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来源:The Decoder:AI News · the-decoder.com