xuan (ɕɥɛn / sh-yen)#735
Representing possible alternatives lies at the heart of moral judgment. As LLMs become embedded in our reasoning processes, they change the set of alternatives we bring to mind.
Our #CogSci2026 paper shows that AI might be making us judge people harsher⚖️ https://osf.io/preprints/psyarxiv/uy8sz_v1
Users praise the study on LLMs increasing blame attribution by shaping moral alternatives because the research looks promising and worth discussing at the conference in Rio.
We find that LLMs sample option spaces differently from humans, producing higher-valued but more semantically concentrated alternatives. 💭
When people consider action alternatives generated by an LLM, they assign more blame than when they consider human-generated alternatives.
Feat. @neele_engelmann, @amnussberger, Arne Maas and @phillipsjs. Come catch us at @cogsci_soc in Rio🌴 presenting this.
@Lara_Kirfel @neele_engelmann @amnussberger @phillipsjs @cogsci_soc Looks great - see you in Rio to discuss :-)
xuan (ɕɥɛn / sh-yen)#735Representing possible alternatives lies at the heart of moral judgment. As LLMs become embedded in our reasoning processes, they change the set of alternatives we bring to mind.
Our #CogSci2026 paper shows that AI might be making us judge people harsher⚖️ https://osf.io/preprints/psyarxiv/uy8sz_v1