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Studying those who study us: an anthropologist in the world of artificial intelligence
Abstract
Studying Those Who Study Us: An Anthropologist in the World of Artificial Intelligence. Diana E. Forsythe. Edited, with introduction by David Hess. Stanford: Stanford University Press, 2001. xxix. 240 pp.
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Citations
Cited by
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Ash, J. S. (2003) · Journal of the American Medical Informatics Association · doi:10.1197/jamia.m1471 · Cited by 1,789
Fairness and Abstraction in Sociotechnical Systems
Selbst, A. D., Boyd, D., Friedler, S. A., Venkatasubramanian, S., & Vertesi, J. (2019) · Proceedings of the Conference on Fairness, Accountability, and Transparency · doi:10.1145/3287560.3287598 · Cited by 1,631
Decolonial AI: Decolonial Theory as Sociotechnical Foresight in Artificial Intelligence
Mohamed, S., Png, M.-T., & Isaac, W. (2020) · Philosophy & Technology · doi:10.1007/s13347-020-00405-8 · Cited by 912
Undone Science: Charting Social Movement and Civil Society Challenges to Research Agenda Setting
Frickel, S., Gibbon, S., Howard, J., Kempner, J., Ottinger, G., & Hess, D. J. (2010) · Science, Technology, & Human Values · doi:10.1177/0162243909345836 · Cited by 632
Metadata
- Venue
- Choice Reviews Online
- Publisher
- American Library Association
- Published
- 2002-03-01
- Volume
- 39
- Issue
- 07
- Pages
- 39-4050-39-4050
- ISSN
- 0009-4978 (ISSN-L)
- 1523-8253
- OpenAlex
- W1744490497
- Cited by
- 269
- References
- 0
- Type
- book review
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.