The Contestation of Tech Ethics: A Sociotechnical Approach to Technology Ethics in Practice
Not on the map. Why?
Abstract (arXiv)
This article introduces the special issue "Technology Ethics in Action: Critical and Interdisciplinary Perspectives". In response to recent controversies about the harms of digital technology, discourses and practices of "tech ethics" have proliferated across the tech industry, academia, civil society, and government. Yet despite the seeming promise of ethics, tech ethics in practice suffers from several significant limitations: tech ethics is vague and toothless, has a myopic focus on individual engineers and technology design, and is subsumed into corporate logics and incentives. These limitations suggest that tech ethics enables corporate "ethics-washing": embracing the language of ethics to defuse criticism and resist government regulation, without committing to ethical behavior. Given these dynamics, I describe tech ethics as a terrain of contestation where the central debate is not whether ethics is desirable, but what "ethics" entails and who gets to define it. Current approaches to tech ethics are poised to enable technologists and technology companies to label themselves as "ethical" without substantively altering their practices. Thus, those striving for structural improvements in digital technologies must be mindful of the gap between ethics as a mode of normative inquiry and ethics as a practical endeavor. In order to better evaluate the opportunities and limits of tech ethics, I propose a sociotechnical approach that analyzes tech ethics in light of who defines it and what impacts it generates in practice.
Key facts. Cited by 12 papers in the map (data through 7 Oct 2026). Builds on 4 of its 162 references that are in the map. First posted on arXiv 3 Jun 2021.
Builds on
4 of 162 references.
References · 4
- 2018Datasheets for Datasetscited by 1,371
- 2018Model Cards for Model Reportingcited by 1,068
- 2019Principles alone cannot guarantee ethical AIcited by 134
- 2018Embedded EthiCS: Integrating Ethics Broadly Across Computer Science Educationcited by 5
Built on by
Citing papers per year: 2023: 5; 2024: 3; 2025: 2; 2026: 2.
12 papers.
- 2023Fairlearn: Assessing and Improving Fairness of AI Systemscited by 74
- 2024Stop! In the Name of Flaws: Disentangling Personal Names and Sociodemographic Attributes in NLPcited by 22
- 2023`It is currently hodgepodge'': Examining AI/ML Practitioners' Challenges during Co-production of Responsible AI Valuescited by 18
- 2023Investigating Practices and Opportunities for Cross-functional Collaboration around AI Fairness in Industry Practicecited by 15
- 2023Explainability in AI Policies: A Critical Review of Communications, Reports, Regulations, and Standards in the EU, US, and UKcited by 13
- 2023Scaling Laws Do Not Scalecited by 13
- 2024Characterizing and modeling harms from interactions with design patterns in AI interfacescited by 11
- 2024HCC Is All You Need: Alignment-The Sensible Kind Anyway-Is Just Human-Centered Computingcited by 2
- 2025Mapping Trustworthiness in Large Language Models: A Bibliometric Analysis Bridging Theory to Practicecited by 1
- 2025Fairness in Federated Learning: Fairness for Whom?cited by 1
- 2026Strategic Polysemy in AI Discourse: A Philosophical Analysis of Language, Hype, and Powercited by 1
- 2026Abstracted Away: Resisting Alienation and Ungrounded Abstraction in AI Research Communitiescited by 0
- 2026Abstracted Away: Resisting Alienation and Ungrounded Abstraction in AI Research Communities9 Aug 2026
- 2026Strategic Polysemy in AI Discourse: A Philosophical Analysis of Language, Hype, and Power22 Apr 2026
- 2025Fairness in Federated Learning: Fairness for Whom?27 May 2025
- 2025Mapping Trustworthiness in Large Language Models: A Bibliometric Analysis Bridging Theory to Practice27 Feb 2025
- 2024Stop! In the Name of Flaws: Disentangling Personal Names and Sociodemographic Attributes in NLP27 May 2024
- 2024HCC Is All You Need: Alignment-The Sensible Kind Anyway-Is Just Human-Centered Computing30 Apr 2024
- 2024Characterizing and modeling harms from interactions with design patterns in AI interfaces17 Apr 2024
- 2023`It is currently hodgepodge'': Examining AI/ML Practitioners' Challenges during Co-production of Responsible AI Values14 Jul 2023
- 2023Scaling Laws Do Not Scale5 Jul 2023
- 2023Investigating Practices and Opportunities for Cross-functional Collaboration around AI Fairness in Industry Practice10 Jun 2023
- 2023Explainability in AI Policies: A Critical Review of Communications, Reports, Regulations, and Standards in the EU, US, and UK20 Apr 2023
- 2023Fairlearn: Assessing and Improving Fairness of AI Systems29 Mar 2023