Motoki, Fabio Y. S., Pinho Neto, Valdemar and Rodrigues, Victor (2025) Assessing political bias and value misalignment in generative artificial intelligence. Journal of Economic Behavior & Organization, 234. ISSN 0167-2681
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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.
Item Type: | Article |
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Additional Information: | Data availability: The data and code for replication is available at: https://doi.org/10.7910/DVN/VZRKWP Funding information: This study was financed in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior–Brasil (CAPES) – Finance Code 001. |
Uncontrolled Keywords: | ai governance,generative ai,large language models,multimodal,societal values,economics and econometrics,organizational behavior and human resource management ,/dk/atira/pure/subjectarea/asjc/2000/2002 |
Faculty \ School: | Faculty of Social Sciences > Norwich Business School |
Related URLs: | |
Depositing User: | LivePure Connector |
Date Deposited: | 04 Feb 2025 16:15 |
Last Modified: | 01 Jun 2025 03:30 |
URI: | https://ueaeprints.uea.ac.uk/id/eprint/98368 |
DOI: | 10.1016/j.jebo.2025.106904 |
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