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Artificial intelligence, tech corporate governance and the public interest regulatory response

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  • Alan Dignam

Abstract

This article attempts to get to the heart of some of the general misunderstanding of artificial intelligence (AI), its existent dangers and its problematic autocratic governance centred on US and Chinese tech dominance of the area. Having considered the extent of each in turn it proposes a regulatory model to place public rather than private interest at the heart of both technical and governance centred AI regulation.

Suggested Citation

  • Alan Dignam, 2020. "Artificial intelligence, tech corporate governance and the public interest regulatory response," Cambridge Journal of Regions, Economy and Society, Cambridge Political Economy Society, vol. 13(1), pages 37-54.
    • Handle: RePEc:oup:cjrecs:v:13:y:2020:i:1:p:37-54.
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    File URL: http://hdl.handle.net/10.1093/cjres/rsaa002
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    References listed on IDEAS

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    1. David H. Autor, 2015. "Why Are There Still So Many Jobs? The History and Future of Workplace Automation," Journal of Economic Perspectives, American Economic Association, vol. 29(3), pages 3-30, Summer.
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    Cited by:

    1. Guendalina Anzolin, 2021. "Automation and its Employment Effects: A Literature Review of Automotive and Garment Sectors," JRC Working Papers on Labour, Education and Technology 2021-16, Joint Research Centre.
    2. Eryn Rigley & Caitlin Bentley & Joshua Krook & Sarvapali D. Ramchurn, 2024. "Evaluating international AI skills policy: A systematic review of AI skills policy in seven countries," Global Policy, London School of Economics and Political Science, vol. 15(1), pages 204-217, February.
    3. Tan Yigitcanlar & Federico Cugurullo, 2020. "The Sustainability of Artificial Intelligence: An Urbanistic Viewpoint from the Lens of Smart and Sustainable Cities," Sustainability, MDPI, vol. 12(20), pages 1-24, October.
    4. Tan Yigitcanlar, 2021. "Greening the Artificial Intelligence for a Sustainable Planet: An Editorial Commentary," Sustainability, MDPI, vol. 13(24), pages 1-9, December.
    5. Judith Clifton & Amy Glasmeier & Mia Gray, 2020. "When machines think for us: the consequences for work and place," Cambridge Journal of Regions, Economy and Society, Cambridge Political Economy Society, vol. 13(1), pages 3-23.
    6. Vasiliy Andreevich Laptev & Daria Rinatovna Feyzrakhmanova, 2021. "Digitalization of Institutions of Corporate Law: Current Trends and Future Prospects," Laws, MDPI, vol. 10(4), pages 1-19, December.
    7. Manal Ahdadou & Abdellah Aajly & Mohamed Tahrouch, 2024. "Unlocking the potential of augmented intelligence: a discussion on its role in boardroom decision-making," International Journal of Disclosure and Governance, Palgrave Macmillan, vol. 21(3), pages 433-446, September.
    8. Anna Davies & Betsy Donald & Mia Gray, 2023. "The power of platforms—precarity and place," Cambridge Journal of Regions, Economy and Society, Cambridge Political Economy Society, vol. 16(2), pages 245-256.
    9. Ilya Ivaninskiy & Irina Ivashkovskaya, 2022. "Are blockchain-based digital transformation and ecosystem-based business models mutually reinforcing? The principal-agent conflict perspective," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 12(4), pages 643-670, December.

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