Beyond Better Ideas: How Human-AI Collaboration Shapes Scientific Ideas and Human Perceptions
3.20T1 sourcearXiv cs.HC
Source record
Published by arXiv cs.HC (T1 source). The original is at https://arxiv.org/abs/2610.30568.
Pipeline notes
The summary and note below are generated by the signal pipeline — they are Beyond Desk’s reading, not quotations from the source.
SummaryEmpirical study of human-AI collaboration in scientific ideation. Finds AI collaboration does not significantly improve human-evaluated idea quality, though iterative revision does. AI judges approximate human scores but favor AI-assisted proposals. Collaboration provenance is only partially detectable, and firsthand AI use raises perceived usefulness while yielding smaller efficiency gains than expected.
Why it mattersChallenges the assumption that AI's main value is producing better ideas. Empirical findings on AI judge bias toward AI-assisted work and limited detectability of AI collaboration matter for anyone deploying AI in creative workflows.
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