Tradeoffs all the way down
Ethical abduction as a decision-making process for data-intensive technology development
Bibliographic Data
| ID | 5260764 |
|---|---|
| Authors | Anissa Tanweer (0000-0002-8868-4288, University of Washington, corresponding author) |
| Year | 2022 |
| Volume | 9 |
| Issue | 1 |
| Publication date | 2022-01-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Big Data & Society (JOURNAL) |
| Journal identifiers | ISSN: 2053-9517 • E-ISSN: 2053-9517 |
| Publisher | SAGE Publications Inc (PUBLISHER) |
| DOI | 10.1177/20539517221101351 |
| OpenAlex | W4285225531 |
| Language | EN |
| Citations received | 2 |
| References cited | 33 |
Ample scholarship demonstrates that data-intensive technologies have the capacity to cause serious harm and that their developers are obliged to address ethics in their work. This ethnographic paper tells the story of data scientists attempting to instantiate a carefully considered ethical vision into a data infrastructure while balancing competing priorities, negotiating divergent interests, and wrestling with contrasting values. I use their story to develop the concept of "ethical abduction," which I characterize as an exemplary process by which actors can intentionally and systematically address ethical issues that arise during their day-to-day actions by making decisions with consideration for a foundational ethical worldview. It entails tacking back and forth between divergent but complementary ways of thinking: between establishing ideals and making decisions given practical constraints; between understanding historical context and anticipating future consequences; between acknowledging structural dependencies and accepting responsibility for moral agency
Engineering ethics · Epistemology · Ethnography · Harm · Negotiation · Political science · Public relations · Scholarship · Social science · Sociology · Computer Science · Engineering · Ethics and Social Impacts of AI · Information Systems Theories and Implementation · Law · Mobile Crowdsensing and Crowdsourcing
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Datasheets for datasets
Big Data’s End Run around Anonymity and Consent
The global landscape of AI ethics guidelines
Attributions of ethical responsibility by Artificial Intelligence practitioners
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The Politics of Disablement
Sorting Things Out
Labor Out of Place
The Intellectual Challenge of CSCW
Big Data Surveillance
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Values Levers
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| Unique citing works | 2 |
|---|---|
| Citations per year | 1 |
| Citation span | 2024 - 2025 (2) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 2 |