Preregistered behavioral study identifies a speedup illusion where users overestimate time savings from AI assistance on cognitive tasks despite no actual difference in completion times.
arXiv preprint arXiv:2407.12804 , year=
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Three pre-registered studies with 2691 participants show people underestimate their AI usage rate and overestimate efficiency gains on simple tasks, with prior use entrenching further adoption.
Interviews with 22 developers produced a preliminary reliance-control framework that uses levels of control over AI to identify appropriate reliance in software engineering.
The paper consolidates risks of overreliance on LLMs, identifies gaps in current measurement approaches, and proposes mitigation strategies to keep AI as a human-compatible thought partner.
citing papers explorer
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Cognitive offloading and the speedup illusion in human-AI interaction
Preregistered behavioral study identifies a speedup illusion where users overestimate time savings from AI assistance on cognitive tasks despite no actual difference in completion times.
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The efficiency-gain illusion: People underestimate the rate of AI use and overestimate its benefits on simple tasks
Three pre-registered studies with 2691 participants show people underestimate their AI usage rate and overestimate efficiency gains on simple tasks, with prior use entrenching further adoption.
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Towards an Appropriate Level of Reliance on AI: A Preliminary Reliance-Control Framework for AI in Software Engineering
Interviews with 22 developers produced a preliminary reliance-control framework that uses levels of control over AI to identify appropriate reliance in software engineering.
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Measuring and mitigating overreliance to build human-compatible AI
The paper consolidates risks of overreliance on LLMs, identifies gaps in current measurement approaches, and proposes mitigation strategies to keep AI as a human-compatible thought partner.