The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Occluded algorithms
Open accessAbstract
Two definitions of algorithm, their uses, and their implied models of computing in society, are reviewed. The first, termed the structural programming definition, aligns more with usage in computer science, and as the name suggests, the intellectual project of structured programming. The second, termed the systemic definition, is more informal and emerges from ethnographic observations of discussions of software in both professional and everyday settings. Specific examples of locating algorithms within modern codebases are shared, as well as code directly impacting social and ethical concerns. The structural distinction between algorithms and social concerns is explained as mirroring the engineering construct of algorithms and data structures. It is proposed that, rather than this separation being an attempt to enforce a professional boundary and evade social responsibility, it is a crucial technical distinction within code which makes it clearer and more transparent. The power structures reinforced by the broader, cultural interpretations of algorithm are reconsidered, along with what it would mean for software to have an inclusive design culture.
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Citations
Cites
The ethics of algorithms: Mapping the debate
Mittelstadt, B. D., Allo, P., Taddeo, M., Wachter, S., & Floridi, L. (2016) · Big Data & Society · doi:10.1177/2053951716679679 · Cited by 4,567 · cited 3×
“A number of authors, including Dourish (2016: 2–3), Mittelstadt et al. (2016: 2), and Yeung (2018: 3–4) have recognized that differing interpretations of algorithm exist, some more aligned with computer science, some with social science and public policy.”
BackgroundAlgorithmic regulation: A critical interrogation
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Algorithms, Governance, and Governmentality: On Governing Academic Writing
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Cited by
Sorted by citations
Algorithmic management in a work context
Jarrahi, M. H., Newlands, G., Lee, M. K., Wolf, C. T., Kinder, E., & Sutherland, W. (2021) · Big Data & Society · doi:10.1177/20539517211020332 · Cited by 532
“In terms of technical opacity, a frequent concern around algorithmic management is the opaque or “black box” character AI systems (Burke, 2019).”
BackgroundStreet-Level Algorithms and AI in Bureaucratic Decision-Making: A Caseworker Perspective
Ammitzbøll Flügge, A., Hildebrandt, T., & Møller, N. H. (2021) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3449114 · Cited by 83
Metadata
- Authors
- Burke, A.
- Affiliations
- New Centre of Research and Practice, Grand Rapids, USA
- Corresponding author
- Burke, Adam
- ORCID
- Burke, Adam
- Venue
- Big Data & Society
- Publisher
- SAGE Publications
- Published
- 2019-07
- Volume
- 6
- Issue
- 2
- Pages
- 205395171985874
- ISSN
- 2053-9517 (ISSN-L)
- OpenAlex
- W4243767038
- Cited by
- 28
- References
- 4
- Citations by year
- 2026: 1 · 2025: 2 · 2024: 10 · 2023: 2 · 2022: 4 · 2021: 9
- FWCI
- 5.68
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Big Data & Society (publishedVersion, cc-by-nc)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Ethics and Social Impacts of AI
- Social Sciences › Business, Management and Accounting › Management Information Systems › Information Systems Theories and Implementation
- Social Sciences › Arts and Humanities › History and Philosophy of Science › Cybernetics and Technology in Society
- Keywords
- algorithms, structured programming, power structures, inclusive design, data structures, software ethics
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