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BEGIN:VEVENT
DTSTAMP:20261012T210906Z
LOCATION:Summit Pavilion
DTSTART;TZID=America/Los_Angeles:20261021T173000
DTEND;TZID=America/Los_Angeles:20261021T183000
UID:HFESAM_ASPIRE 2026_sess257_POST158@linklings.com
SUMMARY:Confidence Amplification in Human--AI Moral Decision-Making
DESCRIPTION:Mengyao Li and Trevor Patten (Georgia Institute of Technology)
  and Nishthaa Lekhi and Areen Alsaid (University of Michigan, Dearborn)\n\
 nLarge language models (LLMs) are increasingly embedded in everyday decisi
 on-making, yet their influence on human moral judgment remains poorly unde
 rstood. Most work on moral influence is\nframed as categorical opinion cha
 nge (e.g., switching between utilitarian and deontological choices). Here 
 we focus on a subtler but consequential pathway: confidence amplification 
 without decision reversals. We conducted a 2 (Time: pre vs. post; within-s
 ubjects) x 3 (AI moral framing: utilitarian, deontological, balanced; betw
 eensubjects) mixed design with 120 subjects. We found that AI-assisted dia
 logue produced reliable confidence amplification with relatively few categ
 orical reversals. A confidence-weighted opinion strength measure shifted t
 oward the AI’s framing. Moreover, alignment between participants’ initial 
 stance and the AI’s framing further amplified confidence, with parallel in
 creases in linguistic certainty during dialogue. Our results suggest that 
 amplification of confidence, rather than directional change alone, may be 
 a central mechanism through which AI systems exert influence.\n\n
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