REVIEW 1 cited by
From OECD to India: Exploring cross-cultural differences in perceived trust, responsibility and reliance of AI and human experts
Not yet reviewed by Pith; the record is open.
This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.
SPECIMEN: schema-true, not a live event
T0 review · schema-true
One-sentence machine reading of the paper's core claim.
pith:XXXXXXXX · record.json · timestamp
read the original abstract
AI is getting more involved in tasks formerly exclusively assigned to humans. Most of research on perceptions and social acceptability of AI in these areas is mainly restricted to the Western world. In this study, we compare trust, perceived responsibility, and reliance of AI and human experts across OECD and Indian sample. We find that OECD participants consider humans to be less capable but more morally trustworthy and more responsible than AI. In contrast, Indian participants trust humans more than AI but assign equal responsibility for both types of experts. We discuss implications of the observed differences for algorithmic ethics and human-computer interaction.
Forward citations
Cited by 1 Pith paper
-
Do people rely on ChatGPT more than their peers to detect deepfake news?
In a lab deepfake-detection task, students shifted more toward ChatGPT's advice than toward peers' advice (weight-of-advice 0.59 vs 0.33), though in 2025 sessions they trusted linguistic experts slightly more than ChatGPT.
Discussion (0). Continue with ORCID to comment.