IDEAS home Printed from https://ideas.repec.org/p/osf/socarx/q4xep_v1.html
   My bibliography  Save this paper

From tech wars to tech culture wars? “Value shaping” and “value signaling” in AI system design and governance

Author

Listed:
  • König, Pascal
  • Rone, Julia

Abstract

As Artificial intelligence (AI) systems are increasingly sophisticated in emulating human communication and expressing social values, they also gain greater relevance for questions of culture and identity. This makes it important to take seriously the role of culture in AI in its own right. This article conceptualizes and illustrates major ways in which this value dimension becomes salient and provides an overview of conflicts over embedding culture and political ideology into generative AI systems. Besides an unintentional incorporation of values into AI, governments and businesses intentionally shape the values of AI systems – leading to tensions within and between societies and both on the level of AI system design and governance. Governments and businesses furthermore engage in value signaling as the open recognition of the fact that certain social values and political ideas are embedded in AI systems. These developments add an important facet to the politics of AI.

Suggested Citation

  • König, Pascal & Rone, Julia, 2025. "From tech wars to tech culture wars? “Value shaping” and “value signaling” in AI system design and governance," SocArXiv q4xep_v1, Center for Open Science.
  • Handle: RePEc:osf:socarx:q4xep_v1
    DOI: 10.31219/osf.io/q4xep_v1
    as

    Download full text from publisher

    File URL: https://osf.io/download/681717063d8152ab00568dab/
    Download Restriction: no

    File URL: https://libkey.io/10.31219/osf.io/q4xep_v1?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Ingrid Campo-Ruiz, 2025. "Artificial intelligence may affect diversity: architecture and cultural context reflected through ChatGPT, Midjourney, and Google Maps," Palgrave Communications, Palgrave Macmillan, vol. 12(1), pages 1-13, December.
    2. Fabio Motoki & Valdemar Pinho Neto & Victor Rodrigues, 2024. "More human than human: measuring ChatGPT political bias," Public Choice, Springer, vol. 198(1), pages 3-23, January.
    3. Xianfeng Zhang & Yuxue Shi & Ting (Tina) Li & Yuxian Guan & Xinlei Cui, 2024. "How Do Virtual AI Streamers Influence Viewers’ Livestream Shopping Behavior? The Effects of Persuasive Factors and the Mediating Role of Arousal," Information Systems Frontiers, Springer, vol. 26(5), pages 1803-1834, October.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. Olivier Toubia & George Z. Gui & Tianyi Peng & Daniel J. Merlau & Ang Li & Haozhe Chen, 2025. "Twin-2K-500: A dataset for building digital twins of over 2,000 people based on their answers to over 500 questions," Papers 2505.17479, arXiv.org.
    3. Gao, Wei & Jiang, Ning & Guo, Qingqing, 2025. "How cool virtual streamer influences customer in live-streaming commerce? An explanation of stereotype content model," Journal of Retailing and Consumer Services, Elsevier, vol. 82(C).
    4. Yao Qu & Jue Wang, 2024. "Performance and biases of Large Language Models in public opinion simulation," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-13, December.
    5. Tom Coupé, 2024. "Revealed Preferences: ChatGPT’s Opinion on Economic Issues and the Economics Profession," Working Papers in Economics 24/13, University of Canterbury, Department of Economics and Finance.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:osf:socarx:q4xep_v1. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: OSF (email available below). General contact details of provider: https://arabixiv.org .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.