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arXiv · 2407.12856

AI-AI Bias: large language models favor communications generated by large language models

Walter Laurito·Benjamin Davis·Peli Grietzer·Tomáš Gavenčiak·Ada Böhm·Jan Kulveit
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Abstract

Are large language models (LLMs) biased in favor of communications produced by LLMs, leading to possible antihuman discrimination? Using a classical experimental design inspired by employment discrimination studies, we tested widely used LLMs, including GPT-3.5, GPT-4 and a selection of recent open-weight models in binary choice scenarios. These involved LLM-based assistants selecting between goods (the goods we study include consumer products, academic papers, and film-viewings) described either by humans or LLMs. Our results show a consistent tendency for LLM-based AIs to prefer LLM-presented options. This suggests the possibility of future AI systems implicitly discriminating against humans as a class, giving AI agents and AI-assisted humans an unfair advantage.

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Walter Laurito, Benjamin Davis, Peli Grietzer, Tomáš Gavenčiak, Ada Böhm, Jan Kulveit. 2024-07-09. AI-AI Bias: large language models favor communications generated by large language models. https://doi.org/10.1073/pnas.2415697122

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