5 citations · 7 across the 4 of their papers we have counts for
4 papers
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…
Extreme Self-Preference in Language Models
Steven A. Lehr, Mary Cipperman, Mahzarin R. Banaji
Self-preference is a fundamental feature of biological organisms. Since large language models (LLMs) lack sentience, they might be expected to avoid such distortions. Yet, across 7…
Kernels of Selfhood: GPT-4o shows humanlike patterns of cognitive consistency moderated by free choice
Steven A. Lehr, Ketan S. Saichandran, Eddie Harmon-Jones +2
Large Language Models (LLMs) show emergent patterns that mimic human cognition. We explore whether they also mirror other, less deliberative human psychological processes. Drawing…
ChatGPT as Research Scientist: Probing GPT's Capabilities as a Research Librarian, Research Ethicist, Data Generator and Data Predictor
Steven A. Lehr, Aylin Caliskan, Suneragiri Liyanage +1
How good a research scientist is ChatGPT? We systematically probed the capabilities of GPT-3.5 and GPT-4 across four central components of the scientific process: as a Research Lib…