Anthropic工程师谈AI智能体可信与可观测性
IEEE Spectrum 刊文介绍 Anthropic 技术员工 Gurmeet Saran，他负责构建数据与观测基础设施，让 Claude 等 AI 智能体在输出可靠、数据准确的同时不泄露用户隐私。他此前先后任职 Yahoo、Intuit、Meta 和 Wealthfront，在那里建立统一指标与数据治理体系（如 Meta 的 Metric360），并把“隐私与治理必须从一开始就内建于架构”的理念带到了 Anthropic。他表示，AI 智能体要记录做过什么、依据什么信息、结果是否符合预期，同时不暴露隐私数据，这比传统数据库和 Web 服务的可观测性难题要艰巨得多，而这一议题的受关注程度远不及模型能力本身。
当智能体开始连续执行多步操作，可审计、可追溯的数据与观测基础设施正成为其安全落地的前提。
If you’ve ever wondered how Claude and similar AI agents can answer complex questions in seconds and where they get the information, you’re not alone.
Gurmeet Saran works to find that answer every day as an engineer at Anthropic in San Francisco, the AI research company behind Claude. The IEEE senior member is developing an infrastructure to understand the mechanics behind the chatbot’s behavior and to ensure its underlying architecture produces reliable outputs.
Gurmeet Saran
Employer
Anthropic in San Francisco
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