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AI in the EU: Ethical Guidelines as a Governance Tool

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The European Union and the Technology Shift

Abstract

This chapter examines ethical guidelines as a tool for the governance of artificial intelligence (AI). Analysing the European development towards a trustworthy AI, with a focus on the High-Level Expert Group on AI appointed by the European Commission, the chapter highlights the interaction between guidelines and law in light of technological advancements. The chapter explores why ethical framing has such a prominent place in the discussions regarding AI. Applied AI, here argued, must be understood from its interaction with social structures and human expressions, resulting in a need for a multidisciplinary understanding for its governance. Via an analysis of the fuzziness of the AI concept, as well as the related notions of risk and transparency, the chapter concludes by stressing the necessity to move from principles to process in the governance of AI in the EU.

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References

  • Abbott, K. W., & Snidal, D. (2000). Hard and Soft Law in International Governance. International Organization, 54(3), 421–456.

    Article  Google Scholar 

  • Bastos, M. T., & Mercea, D. (2019). The Brexit Botnet and User-Generated Hyperpartisan News. Social Science Computer Review, 37(1), 38–54.

    Article  Google Scholar 

  • Benkler, Y. (2019). Don’t Let Industry Write the Rules for AI. Nature, 569(7754), 161–162.

    Article  Google Scholar 

  • Bostrom, N. (2014). Superintelligence. Paths, Dangers, Strategies. Oxford: Oxford University Press.

    Google Scholar 

  • Brundage, M., Avin, S., Clark, J., Toner, H., Eckersley, P., Garfinkel, B., Dafoe, A., Scharre, P., Zeitzoff, T., Filar, B. & Anderson, H. (2018). The Malicious Use of Artificial Intelligence: Forecasting, Prevention, and Mitigation. arXiv preprint arXiv:1802.07228.

    Google Scholar 

  • Buolamwini, J., & Gebru, T. (2018). Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification. Conference on Fairness, Accountability and Transparency, PMLR, 81, 77–91.

    Google Scholar 

  • Chesney, B., & Citron, D. (2019). Deep Fakes: A Looming Challenge for Privacy, Democracy, and National Security. California Law Review, 107, 1753.

    Google Scholar 

  • Coeckelbergh, M. (2019). Artificial Intelligence: Some Ethical Issues and Regulatory Challenges. Technology and Regulation, 31–34. https://doi.org/10.26116/techreg.2019.003.

  • Cotterrell, R. (1992). The Sociology of Law: An Introduction. Oxford: Oxford University Press.

    Google Scholar 

  • Datta, A., Tschantz, M. C., & Datta, A. (2015). Automated Experiments on Ad Privacy Settings: A Tale of Opacity, Choice, and Discrimination. Proceedings on Privacy Enhancing Technologies, 2015(1), 92–112.

    Google Scholar 

  • de Laat, P. B. (2018). Algorithmic Decision-Making Based on Machine Learning from Big Data: Can Transparency Restore Accountability? Philosophy & Technology, 31(4), 525–541.

    Article  Google Scholar 

  • de Vries, K. (2020). You Never Fake Alone. Creative AI in Action. Information, Communication & Society, 23(14), 2110–2127.

    Google Scholar 

  • Die Bundesregierung. (2020, June 29). Stellungnahme der Bundesregierung der Bundesrepublik Deutschland zum Weißbuch zur Künstlichen Intelligenz – ein europäisches Konzept für Exzellenz und Vertrauen. COM (2020) 65 Final.

    Google Scholar 

  • Dignum, V., Muller, C. & Theodorou, A. (2020). First Analysis of the EU Whitepaper on AI. ALLAI. https://allai.nl/first-analysis-of-the-eu-whitepaper-on-ai/

    Google Scholar 

  • Ellickson, R. C. (1994). Order without Law. Cambridge, MA: Harvard University Press.

    Google Scholar 

  • European Commission. (2018, April 25). Communication from the Commission to the European Parliament, the European Council, the Council, the European Economic and Social Committee and the Committee of the Regions on Artificial Intelligence for Europe. COM (2018) 237 final.

    Google Scholar 

  • European Commission. (2020, February 19). White Paper on Artificial Intelligence: Public Consultation Towards a European Approach for Excellence and Trust. COM (2020) 65 final.

    Google Scholar 

  • Fuller, L. L. (1975). Law as an Instrument of Social Control and Law as a Facilitation of Human Interaction. BYU Law Review, 1, 89–98.

    Google Scholar 

  • Gasser, U., & Almeida, V. A. (2017). A Layered Model for AI Governance. IEEE Internet Computing, 21(6), 58–62.

    Article  Google Scholar 

  • German Data Ethics Commission. (2019). Opinion of the Data Ethics Commission. Retrieved 20 September 2020 from https://datenethikkommission.de/wp-content/uploads/DEK_Gutachten_engl_bf_200121.pdf

  • Goodfellow, I., Pouget-Abadie, J., Mirza, M., Xu, B., Warde-Farley, D., Ozair, S., Courville, A., & Bengio, Y. (2014). Generative Adversarial Nets. Advances in Neural Information Processing Systems, 27, 2672–2680.

    Google Scholar 

  • Hagendorff, T. (2020). The Ethics of AI Ethics: An Evaluation of Guidelines. Minds and Machines, 30, 99–120.

    Article  Google Scholar 

  • HLEG. (2019a). A Definition of AI: Main Capabilities and Disciplines: Definition Developed for the Purpose of the AI HLEG’s Deliverables. Brussels: European Commission.

    Google Scholar 

  • HLEG. The (2019b). Ethics Guidelines for Trustworthy AI. Brussels: European Commission.

    Google Scholar 

  • HLEG. (2019c). Policy and Investment Recommendations for Trustworthy Artificial Intelligence. Brussels: European Commission.

    Google Scholar 

  • Jansen, S. C., & Martin, B. (2015). The Streisand Effect and Censorship Backfire. International Journal of Communication, 9, 656–671.

    Google Scholar 

  • Jobin, A., Ienca, M., & Vayena, E. (2019). The Global Landscape of AI Ethics Guidelines. Nature Machine Intelligence, 1(9), 389–399.

    Article  Google Scholar 

  • Koulu, R. (2020). Human Control over Automation: EU Policy and AI Ethics. European Journal of Legal Studies, 12, 9–46.

    Google Scholar 

  • Larsson, S. (2017). Conceptions in the Code. How Metaphors Explain Legal Challenges in Digital Times. New York: Oxford University Press.

    Book  Google Scholar 

  • Larsson, S. (2018). Algorithmic Governance and the Need for Consumer Empowerment in Data-Driven Markets. Internet Policy Review, 7(2), 1–12.

    Article  Google Scholar 

  • Larsson, S. (2019). The Socio-Legal Relevance of Artificial Intelligence. ‘Law in an Algorithmic World’. Special Issue of Droit et Société, 103(3), 573–593.

    Google Scholar 

  • Larsson, S. (2020). On the Governance of Artificial Intelligence Through Ethics Guidelines. Asian Journal of Law and Society, 1, 1–15. 

    Google Scholar 

  • Larsson, S., & Heintz, F. (2020). Transparency in Artificial Intelligence. Internet Policy Review, 9(2), 1–16.

    Article  Google Scholar 

  • Legg, S., & Hutter, M. (2007) A Collection of Definitions of Intelligence. In B. Goertzel & P. Wang (Eds.), Advances in Artificial General Intelligence: Concepts, Architectures and Algorithms (pp. 17–24), Proceedings of the AGI Workshop 2006 (Vol. 157), IOS Press.

    Google Scholar 

  • Lepri, B., Oliver, N., Letouzé, E., Pentland, A., & Vinck, P. (2018). Fair, Transparent, and Accountable Algorithmic Decision-Making Processes. Philosophy & Technology, 31, 611–627.

    Article  Google Scholar 

  • Lidskog, R. (2008). Scientised Citizens and Democratised Science. Re-assessing the Expert-Lay Divide. Journal of Risk Research, 11(1–2), 69–86.

    Article  Google Scholar 

  • Mandel, G. N. (2009). Regulating Emerging Technologies. Law, Innovation and Technology, 1(1), 75–92.

    Article  Google Scholar 

  • Pasquale, F. (2015). The Black Box Society. The Secret Algorithms that Control Money and Information. Cambridge: Harvard University Press.

    Book  Google Scholar 

  • Pro Publica. (2016, May 23). Machine Bias. Retrieved September 22, 2020, from https://www.propublica.org/article/machine-bias-risk-assessments-in-criminal-sentencing

  • Rahwan, I. (2018). Society-in-the-Loop: Programming the Algorithmic Social Contract. Ethics and Information Technology, 20(1), 5–14.

    Article  Google Scholar 

  • Reisman, D., Schultz, J., Crawford, K., & Whittaker, M. (2018). Algorithmic Impact Assessments: A Practical Framework for Public Agency Accountability. AI Now Institute, 1–22.

    Google Scholar 

  • Samuel, A. L. (1959). Some Studies in Machine Learning Using the Game of Checkers. IBM Journal of Research and Development, 3(3), 210–229.

    Article  Google Scholar 

  • Shankar, S., Halpern, Y., Breck, E., Atwood, J., Wilson, J., & Sculley, D. (2017). No Classification without Representation: Assessing Geodiversity Issues in Open Data Sets for the Developing World. arXiv preprint arXiv:1711.08536.

    Google Scholar 

  • Srivastava, M., Heidari, H., & Krause, A. (2019). Mathematical Notions vs. Human Perception of Fairness: A Descriptive Approach to Fairness for Machine Learning. In Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (pp. 2459–2468).

    Google Scholar 

  • Stone, P., et al. (2016). Artificial Intelligence and Life in 2030, Report of the (pp. 2015–2016). Stanford University: Study Panel. Stanford.

    Google Scholar 

  • Van Dijck, J., Poell, T., & De Waal, M. (2018). The Platform Society: Public Values in a Connective World. New York: Oxford University Press.

    Book  Google Scholar 

  • von der Leyen, Ursula. (2019). A Union That Strives for More. My Agenda for Europe. Political Guidelines for the Next European Commission 2019–2024. Retrieved 20 September 2020 from https://op.europa.eu/en/publication-detail/-/publication/43a17056-ebf1-11e9-9c4e-01aa75ed71a1

  • Wilson, B., Hoffman, J., & Morgenstern, J. (2019). Predictive Inequity in Object Detection. arXiv preprint arXiv:1902.11097.

    Google Scholar 

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Authors and Affiliations

  1. Department of Technology and Society, Lund University, Lund, Sweden

    Stefan Larsson

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  1. Stefan Larsson
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Correspondence to Stefan Larsson .

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Editors and Affiliations

  1. Faculty of Law, Stockholm University, Stockholm, Sweden

    Antonina Bakardjieva Engelbrekt

  2. Department of Government, Uppsala University, Uppsala, Sweden

    Karin Leijon

  3. Department of Government, Uppsala University, Uppsala, Sweden

    Anna Michalski

  4. University of Agder, Kristiansand, Norway

    Lars Oxelheim

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Larsson, S. (2021). AI in the EU: Ethical Guidelines as a Governance Tool. In: Bakardjieva Engelbrekt, A., Leijon, K., Michalski, A., Oxelheim, L. (eds) The European Union and the Technology Shift. Palgrave Macmillan, Cham. https://doi.org/10.1007/978-3-030-63672-2_4

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