Abstract
AI’s ability to extract, classify, and process data on individuals and groups, as I explain in the previous chapters, necessarily leads to various forms of control. For instance, in Chapter 2, I discuss how Uber drivers can feel uncomfortable because the app manages their rides and monitors the minutiae of their work-life. In this chapter, I further expand on the Uber driver example (among many others) and rely on two studies that I recently conducted with data collected in the US and the UK.
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This example draws on Li et al. (2024).
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HIPAA (Health Insurance Portability and Accountability Act, https://www.hhs.gov/hipaa/) is a federal law that required the creation of national standards to protect sensitive patient health information from being disclosed without the patient's consent or knowledge.
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Exceptions are Snapchat, that launched its fee-based Snapchat Plus service (2022); Twitter, that followed suit with “Twitter Blue” (2022); and Meta (Facebook and Instagram, in 2023), that test-marketed a subscription bundle for their services.
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Marabelli, M. (2024). Discipline, Punish … and Workarounds. In: AI, Ethics, and Discrimination in Business. Palgrave Studies in Equity, Diversity, Inclusion, and Indigenization in Business. Palgrave Macmillan, Cham. https://doi.org/10.1007/978-3-031-53919-0_4
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