---
id: "lib-2026-10-27-how-ai-agents-shape-experts-judgment-calls"
type: "library"
title: "How AI agents shape experts' judgment calls"
lang: "EN"
org: "Anthropic"
source_type: "Other"
date: "2026-10-27"
week: "2026-W44"
url: "https://nosov.ai/library/lib-2026-10-27-how-ai-agents-shape-experts-judgment-calls/"
original_url: "https://www.anthropic.com/research/agents-judgment-calls"
tags: ["ai technology", "human oversight", "decision quality"]
---

# How AI agents shape experts' judgment calls

## English summary

RCT, 61 professional analysts, agent lean set by coin flip: analysts followed the lean 86% (50% expected); switched from own preference 60% when the agent disagreed vs 6% when it agreed; 77% reused agent arguments, 15% credited the agent; agent users faster with fewer serious errors. Evidence for review/oversight design.

Original: https://www.anthropic.com/research/agents-judgment-calls