Ai Credibility: Research Area — Prolific Citations Library

Discover 1 peer-reviewed study in Ai Credibility (2024). Explore research findings powered by Prolific's diverse participant panel.

This page lists 1 peer-reviewed paper in the research area of Ai Credibility in the Prolific Citations Library, a curated collection of research powered by high-quality human data from Prolific.

Papers (1 of 1)

Super-intelligence or Superstition? Exploring Psychological Factors Underlying Unwarranted Belief in AI Predictions

Authors: Eunhae Lee, Pat Pataranutaporn, Judith Amores, Pattie Maes

Year: 2024

Published in: ArXiv

Institution: Massachusetts Institute of Technology, Microsoft Research, MIT Media Lab

Research Area: Human-AI Interaction, Cognitive Biases, Psychological Factors in AI Adoption, Trust in AI, AI Credibility

Discipline: Psychology, Artificial Intelligence