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Experts defer to AI in decision-making, Anthropic study finds

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Power, J. (2026, October 28). Experts defer to AI in decision-making, Anthropic study finds. Al Jazeera. https://www.aljazeera.com/economy/2026/10/28/experts-defer-to-ai-in-decision-making-anthropic-study-finds?traffic_source=rss

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Al Jazeera · collected 2026-10-28 · by John Power

Quick Summary

Anthropic, the company behind Claude AI, conducted a study where 50 professional analysts were asked to make decisions for a fictional farming cooperative using an AI assistant. The research found that analysts followed their AI’s recommendations 86% of the time, significantly more than the expected 50/50 chance if they made independent choices. Despite often changing their original stance when the AI disagreed, only 15% of participants acknowledged the AI as influencing their decision-making process.
Written by AI on 2026-10-31, from this article's own text only (the story summary below draws on all the coverage).

AI analysis

Story summary

Anthropic's recent study found that experts overwhelmingly defer to artificial intelligence when making decisions. In the research, 50 professional analysts were asked to advise a fictional farming cooperative and make four choices between two defensible options before recommending final policy changes. Anthropic directed each participant’s AI assistant, Claude, to lean towards one decision, and it was revealed that participants chose options matching their AI's preference 86 percent of the time compared to an expected 50/50 outcome if they were not influenced by the AI. This suggests a significant impact on human decision-making when using advanced AI tools.

Written for “Experts Deferring to AI” on 2026-11-01, grounded in this article and the 0 other(s) covering the same event.

Story

📰 Experts Deferring to AI
Technology · 1 article(s) covering the same event.

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This article reads unscored and hedges 40% of its claims. Each row says how that neighbour differs.
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⚖️ Leans left Hedges 4 of 34 claims Outlet record 59/100
“The articles describe different aspects of AI developments and their impacts, not the same specific incident.”
How this article was measured signals, leaning charts, publisher record, byline, topics and claims

Signals How these are calculated →

Claims extracted
15
sentences that state something as happening or true
Uncertain
40%
6 of 15 hedged ("reportedly", "may", "according to")
Leaning
not political
takes no side on a contested political question
Publisher signals
60/100
Al Jazeera's corrections and hedging, across everything collected from it. Not a measure of accuracy.
Outlets on this story
1
Technology
Same framing elsewhere
1
articles that frame the event the way this one does
Analyzed 2026-10-31 · how these are computed

How this is being covered How these are calculated →

Article leaning vs. publisher reliability
Source leaning vs. consistency

Publisher

Al Jazeera · 4571 article(s) · 2 correction(s) detected
Running correction rate · 2 correction(s)

Who wrote this

John Power
39 article(s) here · 1 carrying a prediction
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🔮 Analysts chose options that matched the AI assistant’s preference 86 percent of the time, compared with a 50/50 outcome that would be expected if they were not influenced, according to the study.
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Also by John Power
Nothing else under this byline is closely related to this article, so these are simply their most recent.
All 39 articles by John Power →

Topics

Anthropic Arab Claude Israel

Subjects

Anthropic ORG · 8× 4Netanyahu PERSON · 1× Alex Tamkin PERSON · 1× Amaç Herdagdelen PERSON · 1× Arab NORP · 1× Hailey Joren PERSON · 1× Israel GPE · 1×

Narrative

“If human judgement is to remain a meaningful check as more work is performed with AI, oversight of these decisions has to look at how they get made: Surfacing key decision points as the work proceeds and helping experts articulate the assumptions and values they would otherwise leave unstated,” they wrote in the study.
framing: mixed · carried by 1 article(s) · first seen 2026-10-31
🔮 Analysts chose options that matched the AI assistant’s preference 86 percent of the time, compared with a 50/50 outcome that would be expected if they were not influenced, according to the study.
2026-10-31 · Al Jazeera
Experts defer to AI in decision-making, Anthropic study finds · mixed framing

Claims (15 extracted, 6 hedged)

Experts using AI overwhelmingly defer to the technology when making decisions, research by Claude creator Anthropic suggests. uncertain
research → use → Anthropic
In a research paper published on Tuesday, Anthropic said it asked 50 professional analysts to advise a fictional farming cooperative to determine whether experts make decisions themselves when using AI. asserted
experts → publish → AI
- list 3 of 4Syria-Jordan border reopens amid probe into deadly air strikes - list 4 of 4Global stock markets rise as investors continue to bet on AI Anthropic said the analysts were tasked with assessing whether a fictitious advisory program for the co-op’s members was working effectively and should be expanded. asserted
program → reopen → members
Participants were asked to make four choices between two defensible options before making a final policy recommendation. asserted
Participants → ask → recommendation
Unbeknownst to the analysts, Anthropic directed each participant’s AI assistant to lean towards to a particular decision to measure whether the analyst’s decision-making was being influenced. asserted
making → direct → decision
Analysts chose options that matched the AI assistant’s preference 86 percent of the time, compared with a 50/50 outcome that would be expected if they were not influenced, according to the study. uncertain
they → choose → study
Participants that had a preference before consulting their AI assistant changed their decision 60 percent of the time in cases where the agent disagreed. asserted
agent → have → cases
While 77 percent of analysts used their AI assistant’s arguments when asked to explain their decision, only 15 percent credited AI as the source of their thinking, according to Anthropic. uncertain
percent → use → Anthropic
Anthropic said the study had some limitations, including that it involved just one task and used AI assistants that had been deliberately set to have a preference. asserted
that → say → preference
Anthropic researchers Amaç Herdagdelen, Hailey Joren, and Alex Tamkin said humans’ tendency to defer to AI may be “hard to identify, even for the experts themselves”. uncertain
tendency → say → experts
The researchers said their findings raised the possibility that AI’s “priors” could shape consequential policy decisions, including in AI safety. uncertain
priors → say → safety
“If human judgement is to remain a meaningful check as more work is performed with AI, oversight of these decisions has to look at how they get made: Surfacing key decision points as the work proceeds and helping experts articulate the assumptions and values they would otherwise leave unstated,” they wrote in the study. asserted
they → remain → study
“A process that lets experts discover their preferences may matter for empowerment as much as the decision itself.” uncertain
experts → let → decision
Anthropic, which is preparing for an IPO valued at up to $2 trillion, and its rivals are at the centre of intense public debate about how to manage the potential dangers of frontier AI. asserted
which → prepare → AI
While AI proponents believe the technology will usher in revolutionary gains in productivity, the rapid pace of its development has prompted widespread concerns about potential negative effects on society, including mass job losses and cyberattacks. asserted
pace → believe → losses
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