Anthropic推出了一项新计划，允许外部研究人员访问经过隐私保护的Claude使用数据，以进行AI影响研究。三个研究小组——斯坦福大学的社会与语言技术实验室、牛津大学的人类信息处理实验室和METR——已经使用这些数据进行了研究。这些研究分析了2026年4月至5月期间的250,000多条对话，重点关注了人机协作中的任务关键性以及编码代理带来的生产力提升等方面。 AI
影响 促成更广泛、独立的对AI现实世界影响和潜在风险的研究。
排序理由 Anthropic允许外部研究人员使用其数据来研究AI的影响，这是一个研究里程碑。
AI 生成摘要 · Google Gemini · 来自 5 个来源。 我们如何撰写摘要 →
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Now, we want to scale this research model. If you're a researcher and would like access to our tools to pursue work you can't otherwise do today, we’d like to hear from you. You can express interest here: https://t.co/kz0AspgzD1
The other two studies are ongoing: HIP Lab is studying how Claude's behavior relates to how people feel when using AI, while METR is estimating real-world productivity gains from coding agents. We'll share more from both soon.
The SALT Lab studied how people collaborate with AI. They found that over half of these conversations involved consequential tasks—work that affects other people or is hard to undo. Read their full writeup here: https://t.co/bZ7Qu5nZjb
Three research groups—Stanford’s Social and Language Technologies lab, Oxford’s Human Information Processing Lab, and METR—designed independent studies to analyze the aggregated outputs from 250,000 https://t.co/SVzAB0InAs or Claude Code conversations between April and May 2026.
For the first time, we’ve given external researchers a way to study AI’s impacts using real, privacy-preserved Claude usage data. To date, this work has only been possible within AI labs. We can’t tell the whole story alone, so we opened up our tools. https://t.co/suLJcARAu1