For our fifth anniversary, we reconnected with authors of recent Comments and Perspectives in Nature Machine Intelligence and asked them how the topic they wrote about developed. We also wanted to know what other topics in AI they found exciting, surprising or worrying, and what their hopes and expectations are for AI in 2024—and the next five years. A recurring theme is the ongoing developments in large language models and generative AI, their transformative effect on the scientific process and concerns about ethical implications.
This is a preview of subscription content, access via your institution
Access options
Access Nature and 54 other Nature Portfolio journals
Get Nature+, our best-value online-access subscription
$29.99 / 30 days
cancel any time
Subscribe to this journal
Receive 12 digital issues and online access to articles
$119.00 per year
only $9.92 per issue
Buy this article
- Purchase on Springer Link
- Instant access to full article PDF
Prices may be subject to local taxes which are calculated during checkout
References
Wang, G. et al. Preprint at https://arxiv.org/abs/2305.16291 (2023).
Duéñez-Guzmán, E. A., Sadedin, S., Wang, J. X., McKee, K. R. & Leibo, J. Z. Nat. Mach. Intell. 5, 1181–1188 (2023).
Grizou, J., Points, L. J., Sharma, A. & Cronin, L. Sci. Adv. 6, eaay4237 (2020).
U.S.-EU Trade and Technology Council Inaugural Joint Statement. https://go.nature.com/3tH1Ttw (2021).
Xu, X. et al. Comm. ACM 64, 66–74 (2021).
Porsdam Mann, S., Earp, B. D., Møller, N., Vynn, S. & Savulescu, J. Am. J. Bioethics 23, 28–41 (2023).
Dong, M. & Bocian, K. Preprint at https://osf.io/preprints/psyarxiv/2kaju/ (2023).
Nyholm, S. Am. J. Bioethics 23, 44–47 (2023).
Zohny, H., McMillan, J. & King, M. J. Med. Ethics 49, 79–80 (2023).
Jacovi, A., Caciulari, A., Goldman, O. & Goldberg, Y. Preprint at https://arxiv.org/abs/2305.10160 (2023).
Author information
Authors and Affiliations
Corresponding authors
Rights and permissions
About this article
Cite this article
Ferruz, N., Zitnik, M., Oudeyer, PY. et al. Anniversary AI reflections. Nat Mach Intell 6, 6–12 (2024). https://doi.org/10.1038/s42256-023-00784-5
Published:
Issue Date:
DOI: https://doi.org/10.1038/s42256-023-00784-5
This article is cited by
-
A category theory approach to the semiotics of machine learning
Annals of Mathematics and Artificial Intelligence (2024)