Source record

Published by arXiv cs.HC (T1 source). The original is at https://arxiv.org/abs/2609.30588.

Pipeline notes

The summary and note below are generated by the signal pipeline — they are Beyond Desk’s reading, not quotations from the source.

Longitudinal study and interviews with 15 interdisciplinary researchers examine how they orchestrate GenAI tools across domains. Findings reveal an expertise paradox: AI outputs are hardest to verify when most needed, and researchers rely on GenAI to fill knowledge gaps while preserving epistemic agency for novelty.

Empirical qualitative evidence on how researchers actually sequence GenAI tools across disciplines, with a concrete verification paradox worth designing around.

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