Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

How much of a pluralist is ChatGPT? A comparative study of value pluralism in generative AI chatbots

Bibliographic Data

ID20396454
AuthorsNurit Novis-Deutsch (0000-0002-8683-3008, University of Haifa, corresponding author), Tal Elyoseph (University of Haifa), Zohar Elyoseph (0000-0002-5717-4074, Imperial College London)
Year2026
Volume41
Issue2
Pages1561-1575
Publication date2026-02-01
Open AccessYes
TypeARTICLE
VenueAI & Society (JOURNAL)
Journal identifiersISSN: 0951-5666 • E-ISSN: 1435-5655
PublisherSpringer Science and Business Media LLC (PUBLISHER)
DOI10.1007/s00146-025-02450-3
OpenAlexW4412403718
LanguageEN
References cited31

This study introduces pluralism as a benchmark for evaluating generative AI chatbots’ ability to navigate and potentially endorse diverse values and perspectives. Pluralism—the recognition and valuing of multiple, distinct perspectives—is essential for contemporary democratic societies, making systematic assessment of how AI systems handle value pluralism crucial. Using the Magic Wand Survey (MWS), which presents diverse value conflicts, we empirically measured 2 dimensions of pluralism—“Both/and Reasoning” (cognitive pluralism) and “Willingness to Preserve Difference” (behavioral pluralism)—across 120 iterations of 4 prominent AI chatbots, comparing them to a human sample ( N = 335). AI chatbots exhibited higher cognitive than behavioral pluralism. Furthermore, while chatbots’ cognitive pluralism significantly exceeded human levels, their behavioral pluralism was comparable overall yet notably lower than humans on some morally charged issues (e.g., capital punishment). Clear and systematic variations also emerged between models: while general patterns held, the degree of pluralism varied substantially, with Gemini 1.5 Pro being the most pluralistic and ChatGPT 4o the least among those tested. These findings underscore the importance of pluralism as a key benchmark in AI evaluation

Art · Epistemology · Generative grammar · Linguistics · Performing arts · Sociology · Visual arts · AI in Service Interactions · Computer Science · Ethics and Social Impacts of AI · Philosophy · Psychology · Psychology of Moral and Emotional Judgment

  • The Hedgehog and the Fox

    Isaiah Berlin, Henry Hardy•Hedgehog and the Fox•2019

  • Justice as Fairness

    John Rawls, Erin Kelly•Justice As Fairness•2001

  • The New Synthesis in Moral Psychology

    Open Access•Jonathan Haidt•Science•2007

  • Most people are not Weird

    Open Access•J Henrich, Steven J Heine et al.•Nature•2010

  • Does the chimpanzee have a theory of mind?

    Open Access•David Premack, Guy Woodruff•Behavioral and Brain Sciences•1978

  • An fMRI Investigation of Emotional Engagement in Moral Judgment

    Open Access•Jerome D Greene, Joshua D Greene et al.•Science•2001

  • Pluralism as an antidote to epistemic violence in psychological research

    Open Access•Nurit Novis-Deutsch•Theory & Psychology•2020

  • The one and the many

    Open Access•Nurit Novis-Deutsch•Theory & Psychology•2018

  • The plasticity of ChatGPT’s mentalizing abilities

    Open Access•Dorit Hadar‐shoval, Dorit Hadar-Shoval et al.•Frontiers in Psychiatry•2023

  • Pluralism and Liberalism

    Open Access•Isaiah Berlin, Bernard Williams•Political Studies•1994

  • The Dynamics of Democratic Exclusion

    Open Access•Charles T Taylor, Charles Taylor•Journal of democracy•1998

  • The moral foundations hypothesis does not replicate well in Black samples

    Don E Davis, Kenneth G Rice et al.•Journal of Personality and Social…•2016

  • Liberals and conservatives rely on different sets of moral foundations

    J Graham, Jonathan Haidt et al.•Journal of Personality and Social…•2009

  • Our Compelling Interests

    Open Access•Natasha Warikoo•Contemporary Sociology A Journal…•2018

Highly citedNo

Tools

Open DOIOpen Access
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae