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Generative Artificial Intelligence and Regulations: Can We Plan a Resilient Journey Toward the Safe Application of Generative Artificial Intelligence?

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  • Matteo Bodini

    (Department of Economics, Management and Quantitative Methods, University of Milan, Via Conservatorio 7, 20122 Milan, Italy)

Abstract

The rapid advancements of Generative Artificial Intelligence (GenAI) technologies, such as the well-known OpenAI ChatGPT and Microsoft Copilot, have sparked significant societal, economic, and regulatory challenges. Indeed, while the latter technologies promise unprecedented productivity gains, they also raise several concerns, such as job loss and displacement, deepfakes, and intellectual property violations. The present article aims to explore the present regulatory landscape of GenAI across the major global players, highlighting the divergent approaches adopted by the United States, United Kingdom, China, and the European Union. By drawing parallels with other complex global issues such as climate change and nuclear proliferation, this paper argues that the available traditional regulatory frameworks may be insufficient to address the unique challenges posed by GenAI. As a result, this article introduces a resilience-focused regulatory approach that emphasizes aspects such as adaptability, swift incident response, and recovery mechanisms to mitigate potential harm. By analyzing the existing regulations and suggesting potential future directions, the present article aims to contribute to the ongoing discourse on how to effectively govern GenAI technologies in a rapidly evolving regulatory landscape.

Suggested Citation

  • Matteo Bodini, 2024. "Generative Artificial Intelligence and Regulations: Can We Plan a Resilient Journey Toward the Safe Application of Generative Artificial Intelligence?," Societies, MDPI, vol. 14(12), pages 1-16, December.
  • Handle: RePEc:gam:jsoctx:v:14:y:2024:i:12:p:268-:d:1546189
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    References listed on IDEAS

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    1. Humaid Al Naqbi & Zied Bahroun & Vian Ahmed, 2024. "Enhancing Work Productivity through Generative Artificial Intelligence: A Comprehensive Literature Review," Sustainability, MDPI, vol. 16(3), pages 1-37, January.
    2. Gabriela Borz & Fabrizio De Francesco & Thomas L. Montgomerie & Michael Peter Bellis, 2024. "The EU soft regulation of digital campaigning: regulatory effectiveness through platform compliance to the code of practice on disinformation," Policy Studies, Taylor & Francis Journals, vol. 45(5), pages 709-729, September.
    3. Roberts, Huw & Babuta, Alexander & Morley, Jessica & Thomas, Christopher & Taddeo, Mariarosaria & Floridi, Luciano, 2023. "Artificial intelligence regulation in the United Kingdom: A path to good governance and global leadership?," Internet Policy Review: Journal on Internet Regulation, Alexander von Humboldt Institute for Internet and Society (HIIG), Berlin, vol. 12(2), pages 1-31.
    Full references (including those not matched with items on IDEAS)

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