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Research Article

Possible harms of artificial intelligence and the EU AI act: fundamental rights and risk

Received 21 Aug 2023, Accepted 25 Apr 2024, Published online: 11 May 2024

References

  • Alon-Barkat, Saar, and Madalina Busuioc. 2023. “Human–AI Interactions in Public Sector Decision Making: ‘Automation Bias’ and ‘Selective Adherence’ to Algorithmic Advice.” Journal of Public Administration Research and Theory 33 (1): 153–169. https://doi.org/10.1093/jopart/muac007.
  • Aradau, C., and T. Blanke. 2017. “Politics of Prediction: Security and the Time/Space of Governmentality in the Age of Big Data.” European Journal of Social Theory 20 (3): 373–391. https://doi.org/10.1177/1368431016667623.
  • Bareis, Jascha, and Christian Katzenbach. 2022. “Talking AI into Being: The Narratives and Imaginaries of National AI Strategies and Their Performative Politics.” Science, Technology, & Human Values 47 (5): 855–881. https://doi.org/10.1177/01622439211030007.
  • Bender, Emily M., Timnit Gebru, Angelina McMillan-Major, and Shmargaret Shmitchell. 2021. “On the Dangers of Stochastic Parrots: Can Language Models Be Too Big?” In, 14. https://doi.org/10.1145/3442188.3445922.
  • Bertuzzi, Luca. 2022. “Leading MEPs Exclude General-Purpose AI from High-Risk Categories - for Now”. www.Euractiv.Com. December 12, 2022. https://www.euractiv.com/section/artificial-intelligence/news/leading-meps-exclude-general-purpose-ai-from-high-risk-categories-for-now/.
  • Boholm, Åsa, and Hervé Corvellec. 2011. “A Relational Theory of Risk.” Journal of Risk Research 14 (2): 175–190. https://doi.org/10.1080/13669877.2010.515313.
  • Boltanski, Luc, and Laurent Thévenot. 2006. “On Justification: Economies of Worth.” In Princeton Studies in Cultural Sociology. Princeton: Princeton University Press.
  • Brown Weiss, Edith, John H. Jackson, and Nathalie Bernasconi-Osterwalder, eds. 2008. Reconciling Environment and Trade: 2nd ed. Leiden: Brill Nijhoff. https://brill.com/edcollbook/title/14212.
  • Burt, Andrew, Brenda Leong, and Stuart Shirrell. 2018. Beyond Explainability: A Practical Guide to Managing Risk in Machine Learning Models . Future of Privacy Forum. https://fpf.org/wp-content/uploads/2018/06/Beyond-Explainability.pdf.
  • Campolo, Alexander, and Kate Crawford. 2020. “Enchanted Determinism: Power without Responsibility in Artificial Intelligence.” Engaging Science, Technology, and Society 6 (January): 1–19. https://doi.org/10.17351/ests2020.277.
  • ‘CDT Europe’s AI Bulletin: March 2023’. 2023. Center for Democracy and Technology (blog). March 12, 2023. https://cdt.org/insights/cdt-europes-ai-bulletin-march-2023/.
  • Centeno, Miguel A., Manish Nag, Thayer S. Patterson, Andrew Shaver, and A. Jason Windawi. 2015. “The Emergence of Global Systemic Risk.” Annual Review of Sociology 41 (1): 65–85. https://doi.org/10.1146/annurev-soc-073014-112317.
  • Christoffersen, Mikkel Gabriel. 2018. “Risk, Danger, and Trust: Refining the Relational Theory of Risk.” Journal of Risk Research 21 (10): 1233–1247. https://doi.org/10.1080/13669877.2017.1301538.
  • Crawford, Kate. 2021. Atlas of AI: Power, Politics, and the Planetary Costs of Artificial Intelligence. New Haven: Yale University Press.
  • Curran, Dean. 2018. “Risk, Innovation, and Democracy in the Digital Economy.” European Journal of Social Theory 21 (2): 207–226. https://doi.org/10.1177/1368431017710907.
  • Denton, Emily, Alex Hanna, Razvan Amironesei, Andrew Smart, and Hilary Nicole. 2021. “On the Genealogy of Machine Learning Datasets: A Critical History of ImageNet.” Big Data & Society 8 (2): 205395172110359. https://doi.org/10.1177/20539517211035955.
  • EDRi. 2021. “Beyond Debiasing. Regulating AI and Its Inequalities”. https://edri.org/wp-content/uploads/2021/09/EDRi_Beyond-Debiasing-Report_Online.pdf.
  • Engel, Christoph. 2001a. “Delineating the Proper Scope of Government: A Proper Task for a Constitutional Court?” Journal of Institutional and Theoretical Economics 157 (1): 187–219. https://doi.org/10.1628/0932456012974675.
  • Engel, Christoph. 2001b. “The European Charter of Fundamental Rights A Changed Political Opportunity Structure and Its Normative Consequences.” European Law Journal 7 (2): 151–170. https://doi.org/10.1111/1468-0386.00125.
  • Eubanks, Virginia. 2019. Automating Inequality: How High-Tech Tools Profile, Police, and Punish the Poor. First Picador ed. New York: Picador St. Martin’s Press.
  • European Commission. 2020. “White Paper on Artificial Intelligence: A European Approach to Excellence and Trust”. Text. https://ec.europa.eu/info/publications/white-paper-artificial-intelligence-european-approach-excellence-and-trust_en.
  • European Commission. 2021. Proposal for a Regulation of the European Parliament and of the Council Laying down Harmonised Rules on Artificial Intelligence (Artificial Intelligence Act) and Amending Certain Union Legislative Acts. https://eur-lex.europa.eu/legal-content/EN/ALL/?uri=celex:52021PC0206.
  • European Parliament. 2023. “Artificial Intelligence Act. Amendments Adopted by the European Parliament on 14 June 2023 on the Proposal for a Regulation of the European Parliament and of the Council. ” https://www.europarl.europa.eu/doceo/document/TA-9-2023-0236_EN.html.
  • Facchi, Alessandra, and Nicola Riva. 2021. “European Values in the Charter of Fundamental Rights: An Introduction.” Ratio Juris 34 (1): 3–5. https://doi.org/10.1111/raju.12308.
  • Galaz, Victor, Miguel A. Centeno, Peter W. Callahan, Amar Causevic, Thayer Patterson, Irina Brass, Seth Baum, et al. 2021. “Artificial Intelligence, Systemic Risks, and Sustainability.” Technology in Society 67 (November): 101741. https://doi.org/10.1016/j.techsoc.2021.101741.
  • Greene, Daniel, Anna Lauren Hoffmann, and Luke Stark. 2019. “Better, Nicer, Clearer, Fairer: A Critical Assessment of the Movement for Ethical Artificial Intelligence and Machine Learning”. Hawaii International Conference on System Sciences, 10. https://doi.org/10.24251/HICSS.2019.258.
  • Hacker, Philipp. 2021. “A Legal Framework for AI Training Data—from First Principles to the Artificial Intelligence Act.” Law, Innovation and Technology 13 (2): 257–301. https://doi.org/10.1080/17579961.2021.1977219.
  • Hagendorff, Thilo. 2020. “The Ethics of AI Ethics: An Evaluation of Guidelines.” Minds and Machines 30 (1): 99–120. https://doi.org/10.1007/s11023-020-09517-8.
  • Helberger, Natali, and Nicholas Diakopoulos. 2023. “ChatGPT and the AI Act.” Internet Policy Review 12 (1): 1–6. https://policyreview.info/essay/chatgpt-and-ai-act. https://doi.org/10.14763/2023.1.1682.
  • High-Level Expert Group on AI. 2019. “Ethics Guidelines for Trustworthy AI”. Text. https://digital-strategy.ec.europa.eu/en/library/ethics-guidelines-trustworthy-ai.
  • Hilgartner, Stephen. 1992. “The Social Construction of Risk Objects: Or, How to Pry Open Networks of Risk.” In Organizations, Uncertainties, and Risk, edited by James F. Short and Lee Clarke, 39–53. Boulder, CO.: Westview Press.
  • Japp, Klaus P., and Isabel Kusche. 2008. “Systems Theory and Risk.” In Social Theories of Risk and Uncertainty. An Introduction, edited by Jens O. Zinn. 76–103. Malden, MA: Blackwell.
  • Jasanoff, Sheila. 1999. “The Songlines of Risk.” Environmental Values 8 (2): 135–152. https://doi.org/10.1177/096327199900800202.
  • Jobin, Anna, Marcello Ienca, and Effy Vayena. 2019. “The Global Landscape of AI Ethics Guidelines.” Nature Machine Intelligence 1 (9): 389–399. https://doi.org/10.1038/s42256-019-0088-2.
  • Joint Research Centre. 2023. “Analysis of the Preliminary AI Standardisation Work Plan in Support of the AI Act.” LU: European Commission. https://data.europa.eu/doi/10.2760/5847.
  • Kaminski, Margot E. 2023. “Regulating the Risks of AI.” Boston University Law Review 103 (5): 1347–1411.
  • Laux, Johann, Sandra Wachter, and Brent Mittelstadt. 2023. “Trustworthy Artificial Intelligence and the European Union AI Act: On the Conflation of Trustworthiness and Acceptability of Risk.” Regulation & Governance 18 (1): 3–32. https://doi.org/10.1111/rego.12512.
  • Laux, Johann, Sandra Wachter, and Brent Mittelstadt. 2024. “Three Pathways for Standardisation and Ethical Disclosure by Default under the European Union Artificial Intelligence Act.” Computer Law & Security Review 53: 1–11.
  • Luhmann, Niklas. 1992. “Die Beschreibung Der Zukunft.” In Beobachtungen Der Moderne, 29–47. Opladen: Westdeutscher Verlag.
  • Luhmann, Niklas. 2000. Die Politik Der Gesellschaft. Frankfurt a.M.: Suhrkamp.
  • Luhmann, Niklas. 2004. Law as a Social System. Oxford Socio-Legal Studies. Oxford ; New York: Oxford University Press.
  • Luhmann, Niklas. 2005. Risk: A Sociological Theory. 1st paperback ed. New Brunswick, N.J: Aldine Transaction.
  • Luhmann, Niklas. 2017. Trust and Power. English ed. Malden, MA: Polity.
  • Luhmann, Niklas. 1993. Risk: A Sociological Theory. Berlin: de Gruyter. http://www.gbv.de/dms/hbz/toc/ht004524434.PDF.
  • ‘MEPs Seal the Deal on Artificial Intelligence Act’. 2023. www.Euractiv.Com. April 27 2023. https://www.euractiv.com/section/artificial-intelligence/news/meps-seal-the-deal-on-artificial-intelligence-act/.
  • Myskja, Bjørn K. 2011. “Trustworthy Nanotechnology: Risk, Engagement and Responsibility.” Nanoethics 5 (1): 49–56. https://doi.org/10.1007/s11569-011-0116-0.
  • Nemitz, Paul. 2018. “Constitutional Democracy and Technology in the Age of Artificial Intelligence.” Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences 376 (2133): 20180089. https://doi.org/10.1098/rsta.2018.0089.
  • O’Malley, Pat. 2009. “‘Uncertainty Makes Us Free’. Liberalism, Risk and Individual Security.” BEHEMOTH - A Journal on Civilisation 2 (3): 24–38. https://doi.org/10.6094/behemoth.2009.2.3.705.
  • Renn, Ortwin, Klaus Lucas, Armin Haas, and Carlo Jaeger. 2019. “Things Are Different Today: The Challenge of Global Systemic Risks.” Journal of Risk Research 22 (4): 401–415. https://doi.org/10.1080/13669877.2017.1409252.
  • Rességuier, Anaïs, and Rowena Rodrigues. 2020. “AI Ethics Should Not Remain Toothless! A Call to Bring Back the Teeth of Ethics.” Big Data & Society 7 (2): 205395172094254. https://doi.org/10.1177/2053951720942541.
  • Schiølin, Kasper. 2020. “Revolutionary Dreams: Future Essentialism and the Sociotechnical Imaginary of the Fourth Industrial Revolution in Denmark.” Social Studies of Science 50 (4): 542–566. https://doi.org/10.1177/0306312719867768.
  • Sztompka, Piotr. 2003. Trust: A Sociological Theory. Cambridge: Cambridge University Press.
  • Tierney, Kathleen J. 1999. “Toward a Critical Sociology of Risk.” Sociological Forum 14 (2): 215–242. https://doi.org/10.1023/A:1021414628203.
  • Veale, Michael, and Frederik Zuiderveen Borgesius. 2021. “Demystifying the Draft EU Artificial Intelligence Act.” Computer Law Review International 22 (4): 97–112. https://doi.org/10.9785/cri-2021-220402.
  • Veale, Michael, Kira Matus, and Robert Gorwa. 2023. “AI and Global Governance: Modalities, Rationales, Tensions.” Annual Review of Law and Social Science 19 (1): 255–275. https://doi.org/10.31235/osf.io/ubxgk.
  • Wynne, Brian. 2001. “Creating Public Alienation: Expert Cultures of Risk and Ethics on GMOs.” Science as Culture 10 (4): 445–481. https://doi.org/10.1080/09505430120093586.
  • Zajko, Mike. 2022. “Artificial Intelligence, Algorithms, and Social Inequality: Sociological Contributions to Contemporary Debates.” Sociology Compass 16 (3): E12962. https://doi.org/10.1111/soc4.12962.