IDEAS home Printed from https://ideas.repec.org/a/spr/infosf/v25y2023i1d10.1007_s10796-022-10300-6.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10796-022-10300-6
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s10796-022-10300-6?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. 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.
    2. Kate Crawford, 2021. "Time to regulate AI that interprets human emotions," Nature, Nature, vol. 592(7853), pages 167-167, April.
    3. 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, May.
    4. 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.
    5. 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.
    6. 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).
    7. 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).
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. 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.
    13. Trajtenberg, Manuel, 2018. "AI as the next GPT: a Political-Economy Perspective," CEPR Discussion Papers 12721, C.E.P.R. Discussion Papers.
    14. 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, December.
    15. 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.
    16. 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.
    17. 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).
    18. 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.
    Full references (including those not matched with items on IDEAS)

    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. Czarnitzki, Dirk & Fernández, Gastón P. & Rammer, Christian, 2023. "Artificial intelligence and firm-level productivity," Journal of Economic Behavior & Organization, Elsevier, vol. 211(C), pages 188-205.
    2. Selale Tuzel & Miao Ben Zhang, 2021. "Economic Stimulus at the Expense of Routine‐Task Jobs," Journal of Finance, American Finance Association, vol. 76(6), pages 3347-3399, December.
    3. Nils Grashof & Alexander Kopka, 2023. "Widening or closing the gap? The relationship between artificial intelligence, firm-level productivity and regional clusters," Bremen Papers on Economics & Innovation 2304, University of Bremen, Faculty of Business Studies and Economics.
    4. Jérôme Dugast & Thierry Foucault, 2020. "Equilibrium Data Mining and Data Abundance," Post-Print hal-02933315, HAL.
    5. Yingying Lu & Yixiao Zhou, 2021. "A review on the economics of artificial intelligence," Journal of Economic Surveys, Wiley Blackwell, vol. 35(4), pages 1045-1072, September.
    6. Fossen, Frank M. & Sorgner, Alina, 2022. "New digital technologies and heterogeneous wage and employment dynamics in the United States: Evidence from individual-level data," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    7. Elizabeth Fisher & Michael A. Flynn & Preethi Pratap & Jay A. Vietas, 2023. "Occupational Safety and Health Equity Impacts of Artificial Intelligence: A Scoping Review," IJERPH, MDPI, vol. 20(13), pages 1-28, June.
    8. Yang, Chih-Hai, 2022. "How Artificial Intelligence Technology Affects Productivity and Employment: Firm-level Evidence from Taiwan," Research Policy, Elsevier, vol. 51(6).
    9. Simone Vannuccini & Ekaterina Prytkova, 2021. "Artificial Intelligence’s New Clothes? From General Purpose Technology to Large Technical System," SPRU Working Paper Series 2021-02, SPRU - Science Policy Research Unit, University of Sussex Business School.
    10. Alessandro Sterlacchini, 2022. "AI Patenting and Employment: Evidence from the World's Top R&D Investors," Working Papers 462, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    11. Teppo Felin & Stuart Kauffman & Todd Zenger, 2023. "Resource origins and search," Strategic Management Journal, Wiley Blackwell, vol. 44(6), pages 1514-1533, June.
    12. Lenz, Fulko, 2020. "Plattformökonomie – zwischen Abwehr und Wunschdenken," Zeitthemen 03, Stiftung Marktwirtschaft / The Market Economy Foundation, Berlin.
    13. Colin Wessendorf & Alexander Kopka & Dirk Fornahl, 2021. "The impact of the six European Key Enabling Technologies (KETs) on regional knowledge creation," Papers in Evolutionary Economic Geography (PEEG) 2127, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Sep 2021.
    14. Oliver Falck & Johannes Koenen, 2020. "Rohstoff „Daten“: Volkswirtschaflicher Nutzen von Datenbereitstellung – eine Bestandsaufnahme," ifo Forschungsberichte, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 113.
    15. Christian Rammer & Gastón P Fernández & Dirk Czarnitzki, 2021. "Artificial Intelligence and Industrial Innovation: Evidence from Firm-Level Data," Working Papers of Department of Economics, Leuven 674605, KU Leuven, Faculty of Economics and Business (FEB), Department of Economics, Leuven.
    16. Philippe Goulet Coulombe & Maxime Leroux & Dalibor Stevanovic & Stéphane Surprenant, 2022. "How is machine learning useful for macroeconomic forecasting?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(5), pages 920-964, August.
    17. DUERNECKER Georg & SANCHEZ MARTINEZ Miguel, 2021. "Structural change and productivity growth in the European Union: Past, present and future," JRC Working Papers on Territorial Modelling and Analysis 2021-09, Joint Research Centre.
    18. Combes, Pierre-Philippe & Gobillon, Laurent & Zylberberg, Yanos, 2022. "Urban economics in a historical perspective: Recovering data with machine learning," Regional Science and Urban Economics, Elsevier, vol. 94(C).
    19. 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.
    20. Andrea Szalavetz, 2019. "Artificial Intelligence-Based Development Strategy in Dependent Market Economies - Any Room amidst Big Power Rivalry?," Central European Business Review, Prague University of Economics and Business, vol. 2019(4), pages 40-54.

    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:spr:infosf:v:25:y:2023:i:1:d:10.1007_s10796-022-10300-6. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.