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AI provenance tool lowers trust but not reliance, study finds

By PulseAugur Editorial · [1 sources] ·

A study presented at the CHI 2026 conference introduced PaperTrail, an interface designed to highlight unsupported claims within AI-generated answers. Despite lowering researchers' trust in the AI's output, the interface did not reduce their reliance on it. Researchers continued to use the AI's edits, even when flagged as unsupported, due to time pressures and the cost of manual correction. AI

IMPACT Highlights the challenge of reducing AI reliance even when its unsupported claims are flagged, suggesting a need for better tools to address user behavior under pressure.

RANK_REASON The cluster describes a study presented at an academic conference. [lever_c_demoted from research: ic=1 ai=1.0]

Read on Mastodon — fosstodon.org →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

AI provenance tool lowers trust but not reliance, study finds

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The cluster describes a study presented at an academic conference. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] ·

    Why didn't showing researchers every unsupported claim in an AI's answer diminish their reliance on it? In a CHI 2026 study, PaperTrail, a claim-by-claim proven

    Why didn't showing researchers every unsupported claim in an AI's answer diminish their reliance on it? In a CHI 2026 study, PaperTrail, a claim-by-claim provenance interface, lowered researchers' trust in the answers but left their reliance unchanged. It flags what is unsupporte…

    LINKS benjaminhan.net/…/20260626-papertrail

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