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The Political Biases of ChatGPT

Author

Listed:
  • David Rozado

    (Te Pūkenga—New Zealand Institute of Skills and Technology, Hamilton 3244, New Zealand)

Abstract

Recent advancements in Large Language Models (LLMs) suggest imminent commercial applications of such AI systems where they will serve as gateways to interact with technology and the accumulated body of human knowledge. The possibility of political biases embedded in these models raises concerns about their potential misusage. In this work, we report the results of administering 15 different political orientation tests (14 in English, 1 in Spanish) to a state-of-the-art Large Language Model, the popular ChatGPT from OpenAI. The results are consistent across tests; 14 of the 15 instruments diagnose ChatGPT answers to their questions as manifesting a preference for left-leaning viewpoints. When asked explicitly about its political preferences, ChatGPT often claims to hold no political opinions and to just strive to provide factual and neutral information. It is desirable that public facing artificial intelligence systems provide accurate and factual information about empirically verifiable issues, but such systems should strive for political neutrality on largely normative questions for which there is no straightforward way to empirically validate a viewpoint. Thus, ethical AI systems should present users with balanced arguments on the issue at hand and avoid claiming neutrality while displaying clear signs of political bias in their content.

Suggested Citation

  • David Rozado, 2023. "The Political Biases of ChatGPT," Social Sciences, MDPI, vol. 12(3), pages 1-8, March.
  • Handle: RePEc:gam:jscscx:v:12:y:2023:i:3:p:148-:d:1086070
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    Citations

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    Cited by:

    1. Iazdi, Oz, 2023. "Vieses orto-heterodoxos e os algoritmos economistas do ChatGPT [Ortho-Heterodox biases and the economist algorithms of ChatGPT]," MPRA Paper 117655, University Library of Munich, Germany.
    2. Rotaru George-Cristinel & Anagnoste Sorin & Oancea Vasile-Marian, 2024. "How Artificial Intelligence Can Influence Elections: Analyzing the Large Language Models (LLMs) Political Bias," Proceedings of the International Conference on Business Excellence, Sciendo, vol. 18(1), pages 1882-1891.
    3. Francisco Castro & Jian Gao & S'ebastien Martin, 2023. "Human-AI Interactions and Societal Pitfalls," Papers 2309.10448, arXiv.org, revised Oct 2023.
    4. Konstantinos I. Roumeliotis & Nikolaos D. Tselikas, 2023. "ChatGPT and Open-AI Models: A Preliminary Review," Future Internet, MDPI, vol. 15(6), pages 1-24, May.
    5. Athanasios Polyportis & Nikolaos Pahos, 2024. "Navigating the perils of artificial intelligence: a focused review on ChatGPT and responsible research and innovation," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-10, December.

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