Assessing political bias and value misalignment in generative artificial intelligence

Fabio Y. S. Motoki; Valdemar Pinho Neto; Victor Rodrigues

doi:10.1016/j.jebo.2025.106904

Assessing political bias and value misalignment in generative artificial intelligence

Fabio Y. S. Motoki, Valdemar Pinho Neto, Victor Rodrigues

Norwich Business School

Research output: Contribution to journal › Article › peer-review

Abstract

Our analysis reveals a concerning misalignment of values between ChatGPT and the average American. We also show that ChatGPT displays political leanings when generating text and images, but the degree and direction of skew depend on the theme. Notably, ChatGPT repeatedly refused to generate content representing certain mainstream perspectives, citing concerns over misinformation and bias. As generative AI systems like ChatGPT become ubiquitous, such misalignment with societal norms poses risks of distorting public discourse. Without proper safeguards, these systems threaten to exacerbate societal divides and depart from principles that underpin free societies.

Original language	English
Article number	106904
Journal	Journal of Economic Behavior & Organization
Early online date	4 Feb 2025
DOIs	https://doi.org/10.1016/j.jebo.2025.106904
Publication status	E-pub ahead of print - 4 Feb 2025

Keywords

AI governance
Generative AI
Large language models
Multimodal
Societal values

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10.1016/j.jebo.2025.106904Licence: CC BY-NC

Cite this

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AB - Our analysis reveals a concerning misalignment of values between ChatGPT and the average American. We also show that ChatGPT displays political leanings when generating text and images, but the degree and direction of skew depend on the theme. Notably, ChatGPT repeatedly refused to generate content representing certain mainstream perspectives, citing concerns over misinformation and bias. As generative AI systems like ChatGPT become ubiquitous, such misalignment with societal norms poses risks of distorting public discourse. Without proper safeguards, these systems threaten to exacerbate societal divides and depart from principles that underpin free societies.

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Assessing political bias and value misalignment in generative artificial intelligence

Abstract

Keywords

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