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From the “rush to ethics” to the “race for governance” in Artificial Intelligence

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  • Vasiliki Koniakou

    (Athens University of Economics and Business)

Abstract

This paper engages with the emerging field of Artificial Intelligence (AI) governance wishing to contribute to the relevant literature from three angles grounded in international human rights law, Law and Technology, Science and Technology Studies (STS) and theories of technology. Focusing on the shift from ethics to governance, it offers a bird-eye overview of the developments in AI governance, focusing on the comparison between ethical principles and binding rules for the governance of AI, and critically reviewing the latest regulatory developments. Secondly, focusing on the role of human rights, it takes the argument that human rights offer a more robust and effective framework a step further, arguing for the necessity to extend human rights obligations to also directly apply to private actors in the context of AI governance. Finally, it offers insights for AI governance borrowing from the Internet Governance history and the broader technology governance field.

Suggested Citation

  • Vasiliki Koniakou, 2023. "From the “rush to ethics” to the “race for governance” in Artificial Intelligence," Information Systems Frontiers, Springer, vol. 25(1), pages 71-102, February.
    • Handle: RePEc:spr:infosf:v:25:y:2023:i:1:d:10.1007_s10796-022-10300-6
    DOI: 10.1007/s10796-022-10300-6
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    1. KRISHNAMURTHY, Vivek, 2019. "Are Internet Protocols the New Human Rights Protocols? Understanding ‘RFC 8280 – Research into Human Rights Protocol Considerations’," Business and Human Rights Journal, Cambridge University Press, vol. 4(1), pages 163-169, January.
    2. Kuziemski, Maciej & Misuraca, Gianluca, 2020. "AI governance in the public sector: Three tales from the frontiers of automated decision-making in democratic settings," Telecommunications Policy, Elsevier, vol. 44(6).
    3. BILCHITZ, David, 2016. "The Necessity for a Business and Human Rights Treaty," Business and Human Rights Journal, Cambridge University Press, vol. 1(2), pages 203-227, July.
    4. Wettstein, Florian, 2012. "CSR and the Debate on Business and Human Rights: Bridging the Great Divide," Business Ethics Quarterly, Cambridge University Press, vol. 22(4), pages 739-770, October.
    5. Roxana Radu, 2021. "Steering the governance of artificial intelligence: national strategies in perspective [AI ethics guidelines inventory]," Policy and Society, Darryl S. Jarvis and M. Ramesh, vol. 40(2), pages 178-193.
    6. Trajtenberg, Manuel, 2018. "AI as the next GPT: a Political-Economy Perspective," CEPR Discussion Papers 12721, C.E.P.R. Discussion Papers.
    7. Risse, Mathias, 2018. "Human Rights and Artificial Intelligence: An Urgently Needed Agenda," Working Paper Series rwp18-015, Harvard University, John F. Kennedy School of Government.
    8. Ajay Agrawal & Joshua Gans & Avi Goldfarb, 2019. "Economic Policy for Artificial Intelligence," Innovation Policy and the Economy, University of Chicago Press, vol. 19(1), pages 139-159.
    9. Kate Crawford, 2021. "Time to regulate AI that interprets human emotions," Nature, Nature, vol. 592(7853), pages 167-167, April.
    10. Ajay Agrawal & Joshua Gans & Avi Goldfarb, 2019. "The Economics of Artificial Intelligence: An Agenda," NBER Books, National Bureau of Economic Research, Inc, number agra-1.
    11. Edwards, Lilian & Veale, Michael, 2017. "Slave to the Algorithm? Why a 'right to an explanation' is probably not the remedy you are looking for," LawArXiv 97upg, Center for Open Science.
    12. Vesnic-Alujevic, Lucia & Nascimento, Susana & Pólvora, Alexandre, 2020. "Societal and ethical impacts of artificial intelligence: Critical notes on European policy frameworks," Telecommunications Policy, Elsevier, vol. 44(6).
    13. Peter Cihon & Matthijs M. Maas & Luke Kemp, 2020. "Fragmentation and the Future: Investigating Architectures for International AI Governance," Global Policy, London School of Economics and Political Science, vol. 11(5), pages 545-556, November.
    14. Sakiko Fukuda‐Parr & Elizabeth Gibbons, 2021. "Emerging Consensus on ‘Ethical AI’: Human Rights Critique of Stakeholder Guidelines," Global Policy, London School of Economics and Political Science, vol. 12(S6), pages 32-44, July.
    15. Agrawal, Ajay & Gans, Joshua & Goldfarb, Avi (ed.), 2019. "The Economics of Artificial Intelligence," National Bureau of Economic Research Books, University of Chicago Press, number 9780226613338, September.
    16. Araz Taeihagh, 2021. "Governance of artificial intelligence [Application of artificial intelligence for development of intelligent transport system in smart cities]," Policy and Society, Darryl S. Jarvis and M. Ramesh, vol. 40(2), pages 137-157.
    17. Araz Taeihagh & M Ramesh & Michael Howlett, 2021. "Assessing the regulatory challenges of emerging disruptive technologies," Regulation & Governance, John Wiley & Sons, vol. 15(4), pages 1009-1019, October.
    18. Collins, Christopher & Dennehy, Denis & Conboy, Kieran & Mikalef, Patrick, 2021. "Artificial intelligence in information systems research: A systematic literature review and research agenda," International Journal of Information Management, Elsevier, vol. 60(C).
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