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Understanding computers and cognition: A new foundation for design
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Citations
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Jakesch, M., Buçinca, Z., Amershi, S., & Olteanu, A. (2022) · 2022 ACM Conference on Fairness Accountability and Transparency · doi:10.1145/3531146.3533097 · Cited by 116
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Sensible AI: Re-imagining Interpretability and Explainability using Sensemaking Theory
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Roth, W.-M., Tenenberg, J., & Socha, D. (2016) · Computer Supported Cooperative Work (CSCW) · doi:10.1007/s10606-016-9258-5 · Cited by 10
Metadata
- Authors
- Suchman, L. A.
- Venue
- Artificial Intelligence
- Publisher
- Elsevier BV
- Published
- 1987-02
- Volume
- 31
- Issue
- 2
- Pages
- 227-232
- ISSN
- 0004-3702 (ISSN-L)
- OpenAlex
- W2315385127
- Cited by
- 1,055
- References
- 0
- FWCI
- 16.09
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.