‘Problems in protections for working data subjects: the social relations of data production’ argues that existing AI and data and privacy regulation do not sufficiently provide protections from harm in the context of data extraction and mining. This is because the approaches taken are individualist in relational positioning and do not take into account differences across data subject types. The argument updates legal philosophical arguments rooted in propertarian and identitarian assumptions for how data harms can be prevented, arguing that what is needed is a discussion of the social relations of data production and the portrayal of a constellation of power relations rather than identifying a data subject as suspended in midair.
Abraha, H. (2022) EU member states’ use of art 88 gdpr. talk for algorithms at work, Oxford Law Faculty, (Accessed: 3 Mar 2022).
Adams-Prassl, J. (2020) What if your boss was an algorithm? The rise of artificial intelligence at work, Comparative Labor Law & Policy Journal, 41(1): 123–46.
Ajunwa, I. (2020) The ‘black box’ at work, Big Data & Society, 7(2): 1–6. doi: 10.1186/s40537-019-0278-0
Aloisi, A. and De Stefano, V. (2022) Your Boss is an Algorithm: Artificial Intelligence, Platform Work and Labour, Oxford: Hart Publishing Bloomsbury.
Andrew, J. and Baker, M. (2021) The General Data Protection Regulation in the age of surveillance capitalism, Journal of Business Ethics, 168: 565–78. doi: 10.1007/s10551-019-04239-z
Bloom, P. (2019) Monitored: Business and Surveillance in a Time of Big Data, London: Pluto Press.
Boltanski, L. and Chiapello, E. (2007) The New Spirit of Capitalism, London: Verso.
Braidotti, R. (2014) Writing as a nomadic subject, Comparative Critical Studies, 11(2–3): 163–84. doi: 10.3366/ccs.2014.0122
Cornell Legal Information Institute (2022a) Definition of natural person, open access to law, Retrieved from www.law.cornell.edu/wex/natural_person.
Cornell Legal Information Institute (2022b) Definition of artificial person, open access to law, Retrieved from www.law.cornell.edu/wex/artificial_person.
Cornell Legal Information Institute (2022c) Definition of consent, open access to law, Retrieved from www.law.cornell.edu/wex/consent.
De Stefano, V. (2022) AI and digital tools in workplace management and evaluation: An assessment of the EU’s legal framework, European Parliamentary Research Service, Scientific Foresight Unit (STOA) PE 729.516 May 2022, Retrieved from www.europarl.europa.eu/RegData/etudes/STUD/2022/729516/EPRS_STU(2022)729516_EN.pdf.
European Commission (EC) (2021) AI act draft 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 {SEC(2021) 167 final} – {SWD(2021) 84 final} – {SWD(2021) 85 final} (Brussels, 21 April 2021), Retrieved from https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=CELEX%3A52021PC0206.
Foucault, M. (1982) The subject and power, Critical Inquiry, 8(4): 777–95. doi: 10.1086/448181
GDPR (2020) Article 4.1: Definitions, Retrieved from https://gdpr.eu/article-4-definitions/.
Gramsci, A. (1971) Selections from the Prison Notebooks, Q. Hoare and G.N. Smith (trans and ed) New York: International Publishers.
Hayles, N.K. (2017) Unthought: The Power of the Cognitive Unconscious, Chicago: University of Chicago Press.
Kennedy, H., Poell, T. and van Dijck, J. (2015) Data and agency, Big Data & Society, 3(1–2).
Köchling, A. and Wehner, M.C. (2020) Discriminated by an algorithm: a systematic review of discrimination and fairness by algorithmic decision-making in the context of HR recruitment and HR development, Business Research, 13(3): 795–848.
Lazzarato, M. (2021) Capital Hates Everyone: Fascism or Revolution, California, USA: semiotext(e).
Lordon, F. (2014) Willing Slaves of Capital, London and New York: Verso.
Moore, P.V. (2010) The International Political Economy of work and Employability, London: Palgrave Macmillan, International Political Economy Series.
Moore, P.V. (2020) Data Subjects, Digital Surveillance, AI and the Future of Work, Brussels: European Parliament Science and Technology Office. Retrieved from www.europarl.europa.eu/thinktank/en/document/EPRS_STU(2020)656305.
O’Neil, C. (2016) Weapons of Math Destruction, New York: Crown.
OECD (1980) Guidelines on the protection of privacy and transborder flows of personal data, Retrieved from www.oecd.org/sti/ieconomy/oecdguidelinesontheprotectionofprivacyandtransborderflowsofpersonaldata.htm#part1.
Pakes, A. (2020) data protection impact assessments: guide for union representatives. prospect, Retrieved from https://d28j9ucj9uj44t.cloudfront.net/uploads/2020/12/prospect-dpia-workers-guide.pdf.
Pasquale, F. (2016) The Black Box Society: The Secret Algorithms That Control Money and Information, Harvard: Harvard University Press.
Purtova, N. (2021) From knowing by Name to Personalisation: meaning of identification under the GDPR, Retrieved from https://ssrn.com/abstract=3849943 or doi: 10.2139/ssrn.3849943.
Pybus, J., Cote, M. and Blanke, T. (2015) Hacking the social life of Big Data, Big Data & Society, 2(2): 1–10, Retrieved from doi: 10.1177/2053951715616649.
The Economist (2017) The world’s most valuable resources is no longer oil but data, 6 May 2017, Retrieved from www.economist.com/leaders/2017/05/06/the-worlds-most-valuable-resource-is-no-longer-oil-but-data.
Trzaskowski, J. (2021) Your Privacy Is Important to Us! - Restoring Human Dignity in Data-Driven Marketing, Copenhagen: Ex Tuto Publishing.
van Dijck, J. (2014) Datafication, dataism and dataveillance: big data between scientific paradigm and ideology, Surveillance and Society, 12(2): 197–208. doi: 10.24908/ss.v12i2.4776
Veale, M. and Zuiderveen Borgesius, F. (2021) Demystifying the Draft EU Artificial Intelligence act, Computer Law Review International, Retrieved from https://osf.io/preprints/socarxiv/38p5f.
Viljoen, S. (2021) Democratic data: a relational theory for data governance, Yale Law Journal, 12(2): 573–654.
Zuboff, S. (2019) The Age of Surveillance Capitalism: The Fight for the Future at the New Frontier of Power, London: Profile Books Ltd.
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