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From individual consent to collective refusal: changing attitudes toward (mis)use of personal data

Published: 17 December 2020 Publication History

Abstract

Big tech companies have been found to misuse personal data, often collected without consent. What can the public do to change unjust collection and use of their personal data, and what role can computer scientists play in these efforts?

References

[1]
Lee, C. and Zong, J. Consent is not an ethical rubber stamp. Slate. (August 30, 2019); https://slate.com/technology/2019/08/consent-facial-recognition-data-privacy-technology.html
[2]
Solove, D. J. Privacy self-management and the consent dilemma. Harvard Law Review 126, 7 (2012).
[3]
Benjamin, R. Informed refusal: Toward a justice-based bioethics. Science, Technology, and Human Values 41, 6 (2016).
[4]
Buolamwini, J. We must fight face surveillance to protect Black lives. OneZero. (June 2, 2020); https://onezero.medium.com/we-must-fight-face-surveillance-to-protect-black-lives-5ffcd0b4c28a

Cited By

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  • (2024)Null Compliance: NYC Local Law 144 and the challenges of algorithm accountabilityProceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency10.1145/3630106.3658998(1701-1713)Online publication date: 3-Jun-2024
  • (2024)Building, Shifting, & Employing Power: A Taxonomy of Responses From Below to Algorithmic HarmProceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency10.1145/3630106.3658958(1093-1106)Online publication date: 3-Jun-2024
  • (2023)Data Refusal from Below: A Framework for Understanding, Evaluating, and Envisioning Refusal as DesignACM Journal on Responsible Computing10.1145/36301071:1(1-23)Online publication date: 25-Oct-2023
  • Show More Cited By

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Published In

cover image XRDS: Crossroads, The ACM Magazine for Students
XRDS: Crossroads, The ACM Magazine for Students  Volume 27, Issue 2
Agents of Change
Winter 2020
70 pages
ISSN:1528-4972
EISSN:1528-4980
DOI:10.1145/3442665
Issue’s Table of Contents
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 17 December 2020
Published in XRDS Volume 27, Issue 2

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Cited By

View all
  • (2024)Null Compliance: NYC Local Law 144 and the challenges of algorithm accountabilityProceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency10.1145/3630106.3658998(1701-1713)Online publication date: 3-Jun-2024
  • (2024)Building, Shifting, & Employing Power: A Taxonomy of Responses From Below to Algorithmic HarmProceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency10.1145/3630106.3658958(1093-1106)Online publication date: 3-Jun-2024
  • (2023)Data Refusal from Below: A Framework for Understanding, Evaluating, and Envisioning Refusal as DesignACM Journal on Responsible Computing10.1145/36301071:1(1-23)Online publication date: 25-Oct-2023
  • (2022)Consent: A Research and Design Lens for Human-Computer InteractionCompanion Publication of the 2022 Conference on Computer Supported Cooperative Work and Social Computing10.1145/3500868.3561201(205-208)Online publication date: 8-Nov-2022
  • (undefined)Refusal in Data Ethics: Re-imagining the Code Beneath the Code of Computation in the Carceral StateSSRN Electronic Journal10.2139/ssrn.4094977

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