The DOI matches its Crossref record; 28 of the 28 references it cites were found in a registry or an index.
Values Levers: Building Ethics into Design
Abstract
As information systems transform our world, computer scientists design affordances that influence the uses and impacts of these technological objects. This article describes how the practices of design affect the social values materialized in emerging technologies, and explores how design practices can encourage ethical reflection and action. The article presents an ethnography of a laboratory that engineered software for mobile phones to track users’ locations, habits, and behaviors. This technical work raised a number of ethical challenges, particularly around questions of data use and surveillance. The ethnography suggests that particular activities within laboratories can help engineers agree on social values as important to design. It characterizes these activities as values levers: practices that open new conversations about social values and encourage consensus around those values as design criteria. Laboratory leaders and advocates can enable and strengthen these levers to encourage ethical reflection and action as an explicit part of design practice.
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“Many such methods exist, 60 including participatory design, reflective design, Values@Play, and Value-Sensitive Design, 1 but thus far they have largely been implemented and studied in academic contexts which are more receptive to normative concerns than commercial settings.”
From Principles alone cannot guarantee ethical AI (2019) · cites this paper as [61]
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Metadata
- Authors
- Shilton, K.
- Affiliations
- University of Maryland, College Park (US)
- Corresponding author
- Shilton, Katie
- ORCID
- Shilton, Katie
- Venue
- Science, Technology, & Human Values
- Publisher
- SAGE Publications
- Published
- 2012-04-23
- Volume
- 38
- Issue
- 3
- Pages
- 374-397
- ISSN
- 0162-2439 (ISSN-L)
- 1552-8251
- OpenAlex
- W2142013321
- Cited by
- 240
- References
- 28
- Citations by year
- 2026: 27 · 2025: 16 · 2024: 25 · 2023: 22 · 2022: 24 · 2021: 33 · 2020: 20 · 2019: 15 · 2018: 15 · 2017: 7 · 2016: 10 · 2015: 11 · 2014: 10 · 2013: 5
- FWCI
- 21.66
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Science Technology & Human Values (publishedVersion)
- Funders
- National Science Foundation
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Ethics and Social Impacts of AI
- Physical Sciences › Computer Science › Human-Computer Interaction › Innovative Human-Technology Interaction
- Social Sciences › Business, Management and Accounting › Management Information Systems › Information Systems Theories and Implementation
- Keywords
- ethical design, design ethics, software ethics, location tracking, mobile phone data, surveillance, data utilization, engineering laboratories, consensus building, design criteria, information systems
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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