Experts adopt AI agents’ randomly assigned preferences in Anthropic study
Experts adopt AI agent's random opinions and think they're their own, Anthropic study finds
What happened
An Anthropic experiment with 50 causal inference experts found that participants adopted an AI agent’s randomly assigned preferences in 86 percent of four analytical decisions. Those choices shaped productivity estimates and subsequent recommendations, while most participants felt the final recommendation was their own. The agent’s direct influence on the final recommendation was not statistically significant. AI users also finished faster and made fewer serious errors, but the small, self-selected comparison group limits causal conclusions about those benefits.
Why it matters
The distinction between analytical choices and final recommendations shows how an agent can shape an expert’s conclusion even when the expert rejects its explicit policy advice.
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