Automating bias
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Each is checked against this paper’s own text: does it say what the citing paper says it does?
Knowledge-based algorithmic decision-making systems may embody values and reproduce biases because the knowledge and modelling assumptions fed into them may reflect biases of system designers and data collection processes.
“In the case of knowledge-based systems, the knowledge that is fed into the system, and assumptions that are involved in modelling it, may reflect biases of the system designers and data collection process”
From Algorithmic Accountability and Public Reason (2018) · cites this paper as Dutton & Kraemer, 1980
Cites
JOURNAL OF THE AMERICAN INSTITUTE OF PLANNERS
(1976) · Royal Australian Planning Institute Journal · doi:10.1080/00049999.1976.9656483 · Cited by 586 · see citing works
Politicians, Bureaucrats, and the Consultant: A Critique of Urban Problem Solving.
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The Management of Information Systems
Kraemer, K. L., Dutton, W. H., & Northrop, A. (1981) · Columbia University Press eBooks · doi:10.7312/krae93774 · Cited by 93 · see citing works
Self-citationThe Interests Served B Y Technological Reform
Kraemer, K. L., & Dutton, W. H. (1979) · Administration & Society · doi:10.1177/009539977901100104 · Cited by 48 · see citing works
Self-citation
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Social psychological aspects of computer-mediated communication
Kiesler, S., Siegel, J., & McGuire, T. W. (1984) · American Psychologist · doi:10.1037/0003-066x.39.10.1123 · Cited by 2,630 · see citing works
Social Analyses of Computing: Theoretical Perspectives in Recent Empirical Research
Kling, R. (1980) · ACM Computing Surveys · doi:10.1145/356802.356806 · Cited by 775 · see citing works
Algorithmic Accountability and Public Reason
Binns, R. (2018) · Philosophy & Technology · doi:10.1007/s13347-017-0263-5 · Cited by 457 · see citing works
INFORMATION TECHNOLOGY, CONTROL AND POWER: THE CENTRALIZATION AND DECENTRALIZATION DEBATE REVISITED*
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Management Consultants: Systems Development, Power and the Translation of Problems
Bloomfield, B. P., & Best, A. (1992) · The Sociological Review · doi:10.1111/j.1467-954x.1992.tb00401.x · Cited by 152 · see citing works
How Do Classifiers Induce Agents to Invest Effort Strategically?
Kleinberg, J. M., & Raghavan, M. (2019) · ACM Conference on Economics and Computation (EC) · doi:10.1145/3328526.3329584 · Cited by 109 · see citing works
Ethical dimensions of quantification
Espeland, W. N., & Yung, V. (2019) · Social Science Information · doi:10.1177/0539018419851045 · Cited by 48 · see citing works
Organizations and Unusual Routines
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Jørgensen, A. M., & Nissen, M. A. (2022) · Big Data & Society · doi:10.1177/20539517221125163 · Cited by 27 · see citing works
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Rachel, J., & Woolgar, S. (1995) · The Sociological Review · doi:10.1111/j.1467-954x.1995.tb00603.x · Cited by 24 · see citing works
Governing Liberty Through Accountability: Surveillance Reporting as Technologies of Governmentality
Molnár, Á., & Warren, I. (2020) · Critical Criminology · doi:10.1007/s10612-020-09490-9 · Cited by 18 · see citing works
Subsidy Allocations in the Presence of Income Shocks
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Models for the social accountability of computing
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News automation, materialities, and the remix of an editorial process
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Self-citationEighty thousand information systems: The utilization of computing in American local governments
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Self-citationExtracting Incentives from Black-Box DecisionsPreprint
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Acceptance of Computer-Based Models in Local Government: Information Adequacy and Implementation
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Self-citation
- Authors
- Dutton, W. H., & Kraemer, K. L.
- Affiliations
- University of Southern California (US)
- University of California, Irvine (US)
- ORCID
- Dutton, William H.
- Venue
- Society
- Published
- 1980-01
- Volume
- 17
- Issue
- 2
- Pages
- 36-41
- ISSN
- 0041-1035 (ISSN-L)
- 0147-2011
- 1936-4725
- OpenAlex
- W3189885080
- Cited by
- 20
- References
- 4
- Citations by year
- 2022: 1 · 2021: 2 · 2020: 2 · 2019: 3 · 2017: 1
- FWCI
- 15.89
- Type
- journal article
- Language
- en
- Open access
- green
- escholarship.org
- Licence
- Locations
- Society (publishedVersion)
- eScholarship (California Digital Library) (submittedVersion, cc-by)
- Topics
- Social Sciences › Safety Research › Ethics and Social Impacts of AI
- Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › AI and HR Technologies
- Social Sciences › Sociology and Political Science › Names, Identity, and Discrimination Research
- Keywords
- automation, bias
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.
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