78 citations · 85 across the 7 of their papers we have counts for
3 papers · 1 filter
Large Language Models Exhibit Human-Like Bayesian Hypocrisy
Nykko Vitali, Mahzarin R. Banaji
Given recent achievements of large language models (LLMs), frontier models are expected to perform well on Bayesian reasoning tasks, at least as well as humans. Furthermore, there…
Language Models Embody and Amplify Human Cognitive Distortions: What Is to Be Done?
Arnau Marin-Llobet, Steven A. Lehr, Mahzarin R. Banaji
Human judgment is fundamentally prone to error. A promise of AI is that it will rid decisions of bias and ensure a fairer and safer world for all. Yet research unequivocally demons…
Vision-Language Models Suppress Female Representations Under Ambiguous Input
Arnau Marin-Llobet, Simon Henniger, Mahzarin R. Banaji
Alignment teaches vision-language models (VLMs) to avoid expressing demographic biases, and when gender is clearly visible they largely succeed. Far less is known about ambiguous i…