Researchers built an ‘AI Scientist’ — what can it do?
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Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
AI companies around the globe are fiercely competing to develop and market products designed to automate human intellectual labor, including scientific research.
“However, the claim appears to be disingenuous, given that AI companies around the globe are fiercely competing to develop and market products designed to automate human intellectual labor, including scientific research [1, 18, 19].”
From Autonomous artificial intelligence, scientific research, and human values (2026) · cites this paper as [18]
Cites
Probabilistic machine learning and artificial intelligence
Ghahramani, Z. (2015) · Nature · doi:10.1038/nature14541 · Cited by 1,995 · see citing works
An autonomous laboratory for the accelerated synthesis of inorganic materials
Szymanski, N. J., Rendy, B., Fei, Y., Kumar, R. E., He, T., Milsted, D., McDermott, M. J., Gallant, M., Cubuk, E. D., Merchant, A., et al. (2023) · Nature · doi:10.1038/s41586-023-06734-w · Cited by 1,041 · see citing works
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery
Lu, C., Lu, C., Lange, R. T., Foerster, J., Clune, J., & Ha, D. (2024) · arXiv · doi:10.48550/arxiv.2408.06292 · Cited by 118 · see citing works
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Autonomous artificial intelligence, scientific research, and human values
Resnik, D. B., Hosseini, M., & Hauswald, R. (2026) · AI and Ethics · doi:10.1007/s43681-025-00908-0 · Cited by 15 · see citing works
The promise and pitfalls of generative AI
Choudhury, M., Elyoseph, Z., Fast, N. J., Ong, D. C., Nsoesie, E. O., & Pavlick, E. (2025) · Nature Reviews Psychology · doi:10.1038/s44159-024-00402-0 · Cited by 15 · see citing works
Large language models and psychiatry
Orrù, G., Melis, G., & Sartori, G. (2025) · International Journal of Law and Psychiatry · doi:10.1016/j.ijlp.2025.102086 · Cited by 11 · see citing works
When does artificial intelligence replace process-based models in ecological modelling?
Alexandrov, G. A. (2024) · Ecological Modelling · doi:10.1016/j.ecolmodel.2024.110923 · Cited by 9 · see citing works
LLMs as Research Tools: A Large Scale Survey of Researchers' Usage and Perceptions
Liao, Z., Antoniak, M., Cheong, I., Cheng, E. Y.-Y., Lee, A.-H., Lo, K., Chang, J. C., & Zhang, A. X. (2024) · arXiv · doi:10.48550/arxiv.2411.05025 · Cited by 7 · see citing works
Yang, J. J., & Hwang, S. (2025) · Blood Research · doi:10.1007/s44313-025-00062-w · Cited by 5 · see citing works
Building an Intelligent Data Exploring Assistant for Geoscientists
Widlansky, M. J., & Komar, N. (2025) · Journal of Geophysical Research Machine Learning and Computation · doi:10.1029/2025jh000649 · Cited by 2 · see citing works
ARTIFICIAL INTELLIGENCE IN HUMAN LIFE: PERSON OR INSTRUMENT
Gazniuk, L., Бейлін, М. В., & Soina, I. (2024) · The Journal of V N Karazin Kharkiv National University Series Philosophy Philosophical Peripeteias · doi:10.26565/2226-0994-2024-71-7 · Cited by 1 · see citing works
Computational Approaches to Drug Discovery
Zanders, E. D. (2025) · Springer eBooks · doi:10.1007/978-3-031-93949-5_3 · Cited by 1 · see citing works
Aumüller, U., Meyer, E. M., & Weßels, D. (2025) · Springer eBooks · doi:10.1007/978-3-658-48522-1_9
Minds of their own? Decoding free will in large language models
Lavazza, A., Sartori, G., Farina, M., Melis, G., & Orrù, G. (2026) · AI & Society · doi:10.1007/s00146-025-02809-6
Large language and reasoning models in forensic sciences
Orrù, G., Pietrini, P., & Sartori, G. (2026) · Forensic Sciences Research · doi:10.3788/tfsr20260038
Authorship responsibilities of scientists who use AI research agents
Resnik, D. B., Hosseini, M., & Pennock, R. T. (2026) · Frontiers in Genetics · doi:10.3389/fgene.2026.1954843
AI-mediated data collection and the relocation of values in qualitative health research
Sauerbrei, A., Kerasidou, A., & Lucivero, F. (2026) · JME Practical Bioethics · doi:10.1136/jmepb-2026-000240
- Authors
- Castelvecchi, D.
- Corresponding author
- Castelvecchi, Davide
- Venue
- Nature
- Published
- 2024-08-30
- Volume
- 633
- Issue
- 8029
- Pages
- 266-266
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- OpenAlex
- W4402039423
- Cited by
- 13
- References
- 3
- Citations by year
- 2026: 5 · 2025: 6 · 2024: 2
- Type
- other
- Language
- en
- Open access
- closed
- Licence
- Locations
- Nature (publishedVersion)
- PubMed (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Artificial Intelligence Applications
- Physical Sciences › Materials Science › Materials Chemistry › Machine Learning in Materials Science
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Keywords
- AI scientists, large language models, literary reading, research paper writing, peer review
- MeSH terms
- Authorship, Humans, Natural Language Processing, Reading, Research Personnel, Writing
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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