Orchestrating GenAI for Interdisciplinary Research
3.60T1 sourcearXiv cs.HC
arXiv cs.HCoriginal source ↗
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.
SummaryLongitudinal 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.
Why it mattersEmpirical qualitative evidence on how researchers actually sequence GenAI tools across disciplines, with a concrete verification paradox worth designing around.
Cited by
No citations on record.