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AI Diffusion, Disasters, Environmental and Social Change

Author

Listed:
  • Donatella Gatti

    (CEPN - Centre d'Economie de l'Université Paris Nord - CNRS - Centre National de la Recherche Scientifique - Université Sorbonne Paris Nord, Université Sorbonne Paris Nord)

  • Julien Vauday

    (CEPN - Centre d'Economie de l'Université Paris Nord - UP13 - Université Paris 13 - USPC - Université Sorbonne Paris Cité - CNRS - Centre National de la Recherche Scientifique, CEPN - Centre d'Economie de l'Université Paris Nord - CNRS - Centre National de la Recherche Scientifique - Université Sorbonne Paris Nord)

Abstract

This paper investigates the transmission of environmentalist values among citizens in relation to the diffusion of generative AI devices. This diffusion occurs following races in which two strategies, i.e. Safe AI and Unsafe AI, are available to firms and adopted according to an evolutionary game framework. The adoption of Unsafe AI leads to disasters according to a probability associated with both technological and environmental damage. The latter is influenced by consumption patterns and social change resulting from the adoption of environmentalist vs. materialist values by future citizens. A new socialization channel is proposed, which operates through the interactions between humans and AI devices as role models. The interplay between AI diffusion and social change results in complex dynamics leading to multiple steady states. Based on risk-dominance, we show that a complementarity between Safe AI and environmentalism might emerge only if the endogenous disaster probability is higher than a threshold p.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Donatella Gatti & Julien Vauday, 2024. "AI Diffusion, Disasters, Environmental and Social Change," Post-Print hal-04690271, HAL.
    • Handle: RePEc:hal:journl:hal-04690271
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