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The General Data Protection Regulation in the Age of Surveillance Capitalism

Author

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  • Jane Andrew

    (The University of Sydney Business School)

  • Max Baker

    (The University of Sydney Business School)

Abstract

Clicks, comments, transactions, and physical movements are being increasingly recorded and analyzed by Big Data processors who use this information to trace the sentiment and activities of markets and voters. While the benefits of Big Data have received considerable attention, it is the potential social costs of practices associated with Big Data that are of interest to us in this paper. Prior research has investigated the impact of Big Data on individual privacy rights, however, there is also growing recognition of its capacity to be mobilized for surveillance purposes. Our paper delineates the underlying issues of privacy and surveillance and presents them as in tension with one another. We postulate that efforts at controlling Big Data may create a trade-off of risks rather than an overall improvement in data protection. We explore this idea in relation to the principles of the European Union’s General Data Protection Regulation (GDPR) as it arguably embodies the new ‘gold standard’ of cyber-laws. We posit that safeguards advocated by the law, anonymization and pseudonymization, while representing effective counter measures to privacy concerns, also incentivize the use, collection, and trade of behavioral and other forms of de-identified data. We consider the legal status of these ownerless forms of data, arguing that data protection techniques such as anonymization and pseudonymization raise significant concerns over the ownership of behavioral data and its potential use in the large-scale modification of activities and choices made both on and offline.

Suggested Citation

  • Jane Andrew & Max Baker, 2021. "The General Data Protection Regulation in the Age of Surveillance Capitalism," Journal of Business Ethics, Springer, vol. 168(3), pages 565-578, January.
  • Handle: RePEc:kap:jbuset:v:168:y:2021:i:3:d:10.1007_s10551-019-04239-z
    DOI: 10.1007/s10551-019-04239-z
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    References listed on IDEAS

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    1. Glen Whelan, 2019. "Trust in Surveillance: A Reply to Etzioni," Journal of Business Ethics, Springer, vol. 156(1), pages 15-19, April.
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    Cited by:

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    3. Emer Owens & Barry Sheehan & Martin Mullins & Martin Cunneen & Juliane Ressel & German Castignani, 2022. "Explainable Artificial Intelligence (XAI) in Insurance," Risks, MDPI, vol. 10(12), pages 1-50, December.
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    5. Gary Burkhardt & Frederic Boy & Daniele Doneddu & Nick Hajli, 2023. "Privacy Behaviour: A Model for Online Informed Consent," Journal of Business Ethics, Springer, vol. 186(1), pages 237-255, August.
    6. Erik Hermann, 2022. "Leveraging Artificial Intelligence in Marketing for Social Good—An Ethical Perspective," Journal of Business Ethics, Springer, vol. 179(1), pages 43-61, August.
    7. Alharthi, Amal & Cortese, Corinne & Moerman, Lee & Tanima, Farzana, 2022. "Surveillance capitalism in the middle east retail sector," CRITICAL PERSPECTIVES ON ACCOUNTING, Elsevier, vol. 87(C).
    8. Jeffrey Benjamin Meyers, 2021. "Toward a Post-Apocalyptic Rule of Law," Laws, MDPI, vol. 10(3), pages 1-28, August.
    9. Bag, Surajit & Rahman, Muhammad Sabbir & Srivastava, Gautam & Shore, Adam & Ram, Pratibha, 2023. "Examining the role of virtue ethics and big data in enhancing viable, sustainable, and digital supply chain performance," Technological Forecasting and Social Change, Elsevier, vol. 186(PB).

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