IDEAS home Printed from https://ideas.repec.org/p/arx/papers/2307.08564.html
   My bibliography  Save this paper

Shaping New Norms for AI

Author

Listed:
  • Andrea Baronchelli

Abstract

As Artificial Intelligence (AI) becomes increasingly integrated into our lives, the need for new norms is urgent. However, AI evolves at a much faster pace than the characteristic time of norm formation, posing an unprecedented challenge to our societies. This paper examines possible criticalities of the processes of norm formation surrounding AI. Thus, it focuses on how new norms can be established, rather than on what these norms should be. It distinguishes different scenarios based on the centralisation or decentralisation of the norm formation process, analysing the cases where new norms are shaped by formal authorities, informal institutions, or emerge spontaneously in a bottom-up fashion. On the latter point, the paper reports a conversation with ChatGPT in which the LLM discusses some of the emerging norms it has observed. Far from seeking exhaustiveness, this article aims to offer readers interpretive tools to understand society's response to the growing pervasiveness of AI. An outlook on how AI could influence the formation of future social norms emphasises the importance for open societies to anchor their formal deliberation process in an open, inclusive, and transparent public discourse.

Suggested Citation

  • Andrea Baronchelli, 2023. "Shaping New Norms for AI," Papers 2307.08564, arXiv.org, revised Jun 2024.
  • Handle: RePEc:arx:papers:2307.08564
    as

    Download full text from publisher

    File URL: http://arxiv.org/pdf/2307.08564
    File Function: Latest version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Chris Stokel-Walker, 2023. "ChatGPT listed as author on research papers: many scientists disapprove," Nature, Nature, vol. 613(7945), pages 620-621, January.
    2. Damon M. Centola, 2013. "Homophily, networks, and critical mass: Solving the start-up problem in large group collective action," Rationality and Society, , vol. 25(1), pages 3-40, February.
    3. Kosinski, Michal, 2023. "Theory of Mind May Have Spontaneously Emerged in Large Language Models," Research Papers 4086, Stanford University, Graduate School of Business.
    4. Pablo Barberá & Ning Wang & Richard Bonneau & John T Jost & Jonathan Nagler & Joshua Tucker & Sandra González-Bailón, 2015. "The Critical Periphery in the Growth of Social Protests," PLOS ONE, Public Library of Science, vol. 10(11), pages 1-15, November.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Falkenberg, Max & Cinelli, Matteo & Galeazzi, Alessandro & Bail, Christopher A. & Benito, Rosa & Bruns, Axel & Gruzd, Anatoliy & Lazer, David & Lee, Jae K. & McCoy, Jennifer, 2025. "Towards global equity in political polarization research," OSF Preprints 3wzfq_v1, Center for Open Science.

    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. Timm Teubner & Christoph M. Flath & Christof Weinhardt & Wil Aalst & Oliver Hinz, 2023. "Welcome to the Era of ChatGPT et al," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 65(2), pages 95-101, April.
    2. Leopoldo Fergusson & Carlos Molina, 2020. "Facebook Causes Protests," HiCN Working Papers 323, Households in Conflict Network.
    3. Shelley Boulianne & Mireille Lalancette & David Ilkiw, 2020. "“School Strike 4 Climate”: Social Media and the International Youth Protest on Climate Change," Media and Communication, Cogitatio Press, vol. 8(2), pages 208-218.
    4. Matthew Babcock & Kathleen M. Carley, 2022. "Operation gridlock: opposite sides, opposite strategies," Journal of Computational Social Science, Springer, vol. 5(1), pages 477-501, May.
    5. Lu, Peng & Wang, Zheng & Nie, Shizhao & Pujia, Wangmo & Lu, Pengfei & Chen, Baosheng, 2018. "Exploring the participate propensity in cyberspace collective actions: The 5‰ rule," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 503(C), pages 582-590.
    6. Frode Eika Sandnes, 2024. "Can we identify prominent scholars using ChatGPT?," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(1), pages 713-718, January.
    7. Alessandro Di Stefano & Marialisa Scatà & Aurelio La Corte & Pietro Liò & Emanuele Catania & Ermanno Guardo & Salvatore Pagano, 2015. "Quantifying the Role of Homophily in Human Cooperation Using Multiplex Evolutionary Game Theory," PLOS ONE, Public Library of Science, vol. 10(10), pages 1-21, October.
    8. Lu, Peng, 2016. "Predicting peak of participants in collective action," Applied Mathematics and Computation, Elsevier, vol. 274(C), pages 318-330.
    9. Yiting Chen & Tracy Xiao Liu & You Shan & Songfa Zhong, 2023. "The emergence of economic rationality of GPT," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 120(51), pages 2316205120-, December.
    10. Yuan Hsiao, 2022. "Network diffusion of competing behaviors," Journal of Computational Social Science, Springer, vol. 5(1), pages 47-68, May.
    11. Shelley Boulianne & Mireille Lalancette & David Ilkiw, 2020. "“School Strike 4 Climate”: Social Media and the International Youth Protest on Climate Change," Media and Communication, Cogitatio Press, vol. 8(2), pages 208-218.
    12. Grover, Purva & Kar, Arpan Kumar & Dwivedi, Yogesh K. & Janssen, Marijn, 2019. "Polarization and acculturation in US Election 2016 outcomes – Can twitter analytics predict changes in voting preferences," Technological Forecasting and Social Change, Elsevier, vol. 145(C), pages 438-460.
    13. Gisli Gylfason, 2023. "From Tweets to the Streets: Twitter and Extremist Protests in the United States," PSE Working Papers halshs-04188189, HAL.
    14. Nejad, Mohammad G. & Amini, Mehdi & Babakus, Emin, 2015. "Success Factors in Product Seeding: The Role of Homophily," Journal of Retailing, Elsevier, vol. 91(1), pages 68-88.
    15. Cordery, Carolyn J. & Goncharenko, Galina & Polzer, Tobias & McConville, Danielle & Belal, Ataur, 2023. "NGOs’ performance, governance, and accountability in the era of digital transformation," The British Accounting Review, Elsevier, vol. 55(5).
    16. Scatà, Marialisa & Di Stefano, Alessandro & La Corte, Aurelio & Liò, Pietro & Catania, Emanuele & Guardo, Ermanno & Pagano, Salvatore, 2016. "Combining evolutionary game theory and network theory to analyze human cooperation patterns," Chaos, Solitons & Fractals, Elsevier, vol. 91(C), pages 17-24.
    17. Angelo Antoci & Alexia Delfino & Fabio Paglieri & Fabrizio Panebianco & Fabio Sabatini, 2016. "Civility vs. Incivility in Online Social Interactions: An Evolutionary Approach," PLOS ONE, Public Library of Science, vol. 11(11), pages 1-17, November.
    18. Peres, Renana & Schreier, Martin & Schweidel, David & Sorescu, Alina, 2023. "On ChatGPT and beyond: How generative artificial intelligence may affect research, teaching, and practice," International Journal of Research in Marketing, Elsevier, vol. 40(2), pages 269-275.
    19. Schaub, Max & Morisi, Davide, 2020. "Voter mobilisation in the echo chamber: Broadband internet and the rise of populism in Europe," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 59(4), pages 752-773.
    20. Söderlund, Magnus & Natorina, Alona, 2024. "Service robots in a multi-party setting: An examination of robots’ ability to detect human-to-human conflict and its effects on robot evaluations," Technology in Society, Elsevier, vol. 77(C).

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:arx:papers:2307.08564. 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: arXiv administrators (email available below). General contact details of provider: http://arxiv.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.