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Erschienen in:
Zeros and Ones: Striving to Classify Kapitel lesen Erstes Kapitel lesen

2024 | OriginalPaper | Buchkapitel

4. Discipline, Punish … and Workarounds

verfasst von : Marco Marabelli

Erschienen in: AI, Ethics, and Discrimination in Business

Verlag: Springer International Publishing

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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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Vorheriges Kapitel Training AI, Computation, and the Environment
Nächstes Kapitel Institutional Inertia and Corporate Sovereignty
Fußnoten
3
This example draws on Li et al. (2024).
 
22
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.
 
24
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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Li, J., Litvinova, Y., Marabelli, M., & Newell, S. (2024). Ethical Implications of AI Use in Practice for Decision-Making, Research Handbook on AI and Decision Making in Organizations. In I. Constantiou, Joshi, M. P., Stelmaszak, M. (Eds.), Research Handbook on AI and Decision Making in Organizations, Edward Elgar Publishing Ltd.
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Metadaten
Titel
Discipline, Punish … and Workarounds
verfasst von
Marco Marabelli
Copyright-Jahr
2024
Buch
AI, Ethics, and Discrimination in Business

Print ISBN: 978-3-031-53918-3

Electronic ISBN: 978-3-031-53919-0

Copyright-Jahr: 2024

DOI
https://doi.org/10.1007/978-3-031-53919-0_4

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