The DOI matches its Crossref record.
Hopes and fears for intelligent machines in fiction and reality
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Citations
Cited by
Chiu, T. K. F., & Chai, C.-S. (2020) · Sustainability · doi:10.3390/su12145568 · Cited by 448
Cave, S., & Dihal, K. (2020) · Philosophy & Technology · doi:10.1007/s13347-020-00415-6 · Cited by 279
Self-citationPark, J., & Woo, S. E. (2022) · The Journal of Psychology · doi:10.1080/00223980.2021.2012109 · Cited by 243
Speeding up to keep up: exploring the use of AI in the research process
Chubb, J., Cowling, P., & Reed, D. (2022) · AI & SOCIETY · doi:10.1007/s00146-021-01259-0 · Cited by 218
Pataranutaporn, P., Liu, R., Finn, E., & Maes, P. (2023) · Nature Machine Intelligence · doi:10.1038/s42256-023-00720-7 · Cited by 192
Metadata
- Authors
- Cave, S., & Dihal, K.
- Venue
- Nature Machine Intelligence
- Published
- 2019-02-11
- Volume
- 1
- Issue
- 2
- Pages
- 74-78
- ISSN
- 2522-5839 (ISSN-L)
- OpenAlex
- W2914511770
- Cited by
- 355
- References
- 0
- FWCI
- 41.99
- Type
- journal article
- Language
- en
- Open access
- green
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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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- CoChat. (2026). Citation check: Hopes and fears for intelligent machines in fiction and reality. https://app.cochat.ai/papers/10.1038/s42256-019-0020-9
- The paper
- Cave, S., & Dihal, K. (2019). Hopes and fears for intelligent machines in fiction and reality. Nature Machine Intelligence. https://doi.org/10.1038/s42256-019-0020-9
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.
