AI for science and global citizens.


Journal

Patterns (New York, N.Y.)
ISSN: 2666-3899
Titre abrégé: Patterns (N Y)
Pays: United States
ID NLM: 101767765

Informations de publication

Date de publication:
11 Feb 2022
Historique:
entrez: 24 2 2022
pubmed: 25 2 2022
medline: 25 2 2022
Statut: epublish

Résumé

Artificial intelligence (AI) for science is a growing area of interdisciplinary computer science research focused on solving some of the most pressing global issues. While many cite AI's technical advances as the innovative force of the endeavor, I argue that interdisciplinarity, democratization, and cogent justification toward global citizens are driving forces to be fostered in the program's development.

Identifiants

pubmed: 35199069
doi: 10.1016/j.patter.2022.100446
pii: S2666-3899(22)00019-8
pmc: PMC8848001
doi:

Types de publication

News

Langues

eng

Pagination

100446

Informations de copyright

© 2022 The Author(s).

Déclaration de conflit d'intérêts

The author has no competing interests to declare.

Références

Nucleic Acids Res. 2003 Jul 1;31(13):3305-7
pubmed: 12824313
Science. 2010 Oct 29;330(6004):686-8
pubmed: 20929725
Sci Data. 2016 Mar 15;3:160018
pubmed: 26978244
Nature. 2021 Aug;596(7873):583-589
pubmed: 34265844

Auteurs

Austin Clyde (A)

Department of Computer Science, University of Chicago, Chicago, IL 60657, USA.
Data Science and Learning Division, Argonne National Laboratory, Lemont, IL 60439, USA.
Program on Science Technology and Society, Harvard Kennedy School, Cambridge, MA 02138, USA.

Classifications MeSH