Ai Biases: Research Area — Prolific Citations Library

Discover 4 peer-reviewed studies in Ai Biases (2024–2026). Explore research findings powered by Prolific's diverse participant panel.

This page lists 4 peer-reviewed papers in the research area of Ai Biases in the Prolific Citations Library, a curated collection of research powered by high-quality human data from Prolific.

Papers (4 of 4)

The Artificial Intelligence Disclosure Penalty: Humans Persistently Devalue AI-Generated Creative Writing

Authors: M Raj, JM Berg, R Seamans

Year: 2026

Published in: Journal of Experimental Psychology …, 2026 - psycnet.apa.org

Institution: New York University, University of Michigan, Wharton

Research Area: Disclosure psychology, Biases in human–machine evaluation, AI Biases

Discipline: Experimental psychology

This paper sits at the intersection of experimental psychology, social cognition, and consumer judgment, examining how AI disclosure triggers persistent authenticity-based bias against creative work, revealing a robust form of algorithmic aversion in symbolic and expressive domains.

DOI: https://doi.org/10.1037/xge0001889
To Mask or to Mirror: Human-AI Alignment in Collective Reasoning

Authors: C Qian, AT Parisi, C Bouleau, V Tsai

Year: 2025

Published in: Proceedings of the ..., 2025 - aclanthology.org

Institution: Google, Google DeepMind

Research Area: Human-AI Alignment, Collective Reasoning, Social Biases, LLM Simulation of Human Behavior, AI Bias

Discipline: Natural Language Processing, Artificial Intelligence, Computational Social Science

This study examines human-AI alignment in collective reasoning using an empirical framework, demonstrating how LLMs either mirror or mask human biases depending on context, cues, and model-specific inductive biases.

Methods: The study uses the Lost at Sea social psychology task in a large-scale online experiment, simulating LLM groups conditioned on human decision-making data across varying conditions of visible or pseudonymous demographics.

Key Findings: Alignment of LLM behavior with human social reasoning, focusing on collective decision-making and biases in group interactions.

Citations: 1

Sample Size: 748
Large language models amplify human biases in moral decision-making

Authors: V Cheung, M Maier, F Lieder

Year: 2024

Published in: Psyarxiv preprint, 2024 - files.osf.io

Institution: University College LondonA

Research Area: AI Ethics, Moral Decision-Making, Cognitive Biases in LLMs, AI Bias

Discipline: Artificial Intelligence, Ethics

Citations: 11
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