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X-WR-CALNAME:Beyond AI Adoption: Trust as a Task-Level Appraisal in Academi
 c LLM Use
BEGIN:VEVENT
UID:paper-session-1-ai-expertise-and-changing-practice-beyond-ai-adoption-t
 rust-as-a-task-level-appraisal@britchi.uk
DTSTAMP:20261014T154232Z
DTSTART:20261102T113000Z
DTEND:20261102T114000Z
SUMMARY:Beyond AI Adoption: Trust as a Task-Level Appraisal in Academic LLM
  Use
DESCRIPTION:BritCHI 2026 · Paper Session 1: AI\, Expertise and Changing Pr
 actice\nChang\, Mella\, Dowthwaite\, Ahmetoglu\, Cox\nLarge language model
 s (LLMs) have been positioned as tools that could reduce workload and supp
 ort productivity in academic work\, yet adoption remains selective. Prior 
 research attributes this to differences in trust but offers limited insigh
 t into how trust is enacted in practice. We report a qualitative study wit
 h 18 UK academics\, examining how they decide when and how to trust LLMs i
 n their work. Trust is not a stable attitude but a situated\, task-level a
 ppraisal\, governed primarily by whether outputs can be verified and at wh
 at cost. We identify verification burden to describe how\, in academic kno
 wledge work\, the effort required to validate LLM outputs can exceed the b
 enefit of using them\, making restraint the reasonable choice. LLMs also s
 erve as emotional infrastructure for managing the psychological demands of
  academic work\, while creating tensions with academic identity. At the in
 stitutional level\, we identify institutional paralysis: unclear policies\
 , absent norms\, and a lack of endorsed tools constrain adoption even amon
 g willing users. Together\, these reframe cautious LLM use as a nuanced in
 terplay of constrained trust calibration\, emotional ambivalence\, and ins
 titutional paralysis. We translate these findings into design concepts tha
 t make verification effort legible and treat emotional support as core fun
 ction\, as well as describing implications for institutional policy.
LOCATION:Brunel University London\, Kingston Lane\, Uxbridge UB8 3PH
URL:https://www.britchi.uk/programme/schedule/paper-session-1-ai-expertise-
 and-changing-practice/
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