Walking the Walk of AI Ethics: Organizational Challenges and the Individualization of Risk among Ethics Entrepreneurs
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Abstract (arXiv)
Amidst decline in public trust in technology, computing ethics have taken center stage, and critics have raised questions about corporate ethics washing. Yet few studies examine the actual implementation of AI ethics values in technology companies. Based on a qualitative analysis of technology workers tasked with integrating AI ethics into product development, we find that workers experience an environment where policies, practices, and outcomes are decoupled. We analyze AI ethics workers as ethics entrepreneurs who work to institutionalize new ethics-related practices within organizations. We show that ethics entrepreneurs face three major barriers to their work. First, they struggle to have ethics prioritized in an environment centered around software product launches. Second, ethics are difficult to quantify in a context where company goals are incentivized by metrics. Third, the frequent reorganization of teams makes it difficult to access knowledge and maintain relationships central to their work. Consequently, individuals take on great personal risk when raising ethics issues, especially when they come from marginalized backgrounds. These findings shed light on complex dynamics of institutional change at technology companies.
Key facts. Cited by 12 papers in the map (data through 14 Oct 2026). Builds on 2 of its 43 references that are in the map. First posted on arXiv 16 May 2023.
Builds on
2 of 43 references.
References · 2
- 2018Improving fairness in machine learning systems: What do industry practitioners need?cited by 262
- 2019Principles alone cannot guarantee ethical AIcited by 135
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Citing papers per year: 2023: 2; 2024: 2; 2025: 3; 2026: 5.
12 papers.
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- 2023Responsible AI Research Needs Impact Statements Toocited by 7
- 2025Privy: Envisioning and Mitigating Privacy Risks for Consumer-facing AI Product Conceptscited by 4
- 2023The Value-Sensitive Conversational Agent Co-Design Frameworkcited by 3
- 2024A Conceptual Framework for Ethical Evaluation of Machine Learning Systemscited by 2
- 2026When AI Fails, What Works? A Data-Driven Taxonomy of Real-World AI Risk Mitigation Strategiescited by 2
- 2026Engaged AI Governance: Addressing the Last Mile Challenge Through Internal Expert Collaborationcited by 2
- 2025"Accessibility people, you go work on that thing of yours over there": Addressing Disability Inclusion in AI Product Organizationscited by 1
- 2026From Reflection to Repair: A Scoping Review of Dataset Documentation Toolscited by 1
- 2025Fairness-in-the-Workflow: How Machine Learning Practitioners at Big Tech Companies Approach Fairness in Recommender Systemscited by 0
- 2026Post-Deployment Accountability in AI Governance: A Cross-Regulatory Empirical Analysis of AI Incidentscited by 0
- 2026What We Know about Responsible AI Practices in Industry: A Half Decade of Empirical Researchcited by 0
- 2026What We Know about Responsible AI Practices in Industry: A Half Decade of Empirical Research11 Aug 2026
- 2026Engaged AI Governance: Addressing the Last Mile Challenge Through Internal Expert Collaboration23 Apr 2026
- 2026Post-Deployment Accountability in AI Governance: A Cross-Regulatory Empirical Analysis of AI Incidents10 Apr 2026
- 2026When AI Fails, What Works? A Data-Driven Taxonomy of Real-World AI Risk Mitigation Strategies4 Mar 2026
- 2026From Reflection to Repair: A Scoping Review of Dataset Documentation Tools17 Feb 2026
- 2025Privy: Envisioning and Mitigating Privacy Risks for Consumer-facing AI Product Concepts27 Sep 2025
- 2025"Accessibility people, you go work on that thing of yours over there": Addressing Disability Inclusion in AI Product Organizations12 Aug 2025
- 2025Fairness-in-the-Workflow: How Machine Learning Practitioners at Big Tech Companies Approach Fairness in Recommender Systems26 May 2025
- 2024A Conceptual Framework for Ethical Evaluation of Machine Learning Systems5 Aug 2024
- 2024Farsight: Fostering Responsible AI Awareness During AI Application Prototyping23 Feb 2024
- 2023Responsible AI Research Needs Impact Statements Too20 Nov 2023
- 2023The Value-Sensitive Conversational Agent Co-Design Framework18 Oct 2023