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AI for social good: unlocking the opportunity for positive impact

Authors :
Nenad Tomašev
Julien Cornebise
Frank Hutter
Shakir Mohamed
Angela Picciariello
Bec Connelly
Danielle C. M. Belgrave
Daphne Ezer
Fanny Cachat van der Haert
Frank Mugisha
Gerald Abila
Hiromi Arai
Hisham Almiraat
Julia Proskurnia
Kyle Snyder
Mihoko Otake-Matsuura
Mustafa Othman
Tobias Glasmachers
Wilfried de Wever
Yee Whye Teh
Mohammad Emtiyaz Khan
Ruben De Winne
Tom Schaul
Claudia Clopath
Source :
Nature Communications, Vol 11, Iss 1, Pp 1-6 (2020)
Publication Year :
2020
Publisher :
Nature Portfolio, 2020.

Abstract

The AI for Social Good movement aims to apply AI/ML tools to help in delivering on the United Nations’ sustainable development goals (SDGs). Here, the authors identify the challenges and propose guidelines for designing and implementing successful partnerships between AI researchers and application - domain experts.

Subjects

Subjects :
Science

Details

Language :
English
ISSN :
20411723
Volume :
11
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Nature Communications
Publication Type :
Academic Journal
Accession number :
edsdoj.7387a9d909244c1892f82044204fa9ec
Document Type :
article
Full Text :
https://doi.org/10.1038/s41467-020-15871-z