Journal article : Review

AI for social good: unlocking the opportunity for positive impact

Abstract:: Advances in machine learning (ML) and artificial intelligence (AI) present an opportunity to build better tools and solutions to help address some of the world’s most pressing challenges, and deliver positive social impact in accordance with the priorities outlined in the United Nations’ 17 Sustainable Development Goals (SDGs). The AI for Social Good (AI4SG) movement aims to establish interdisciplinary partnerships centred around AI applications towards SDGs. We provide a set of guidelines for establishing successful long-term collaborations between AI researchers and application-domain experts, relate them to existing AI4SG projects and identify key opportunities for future AI applications targeted towards social good.

Publication status:: Published

Peer review status:: Peer reviewed

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APA Style

Tomašev, N., Cornebise, J., Hutter, F., Mohamed, S., Picciariello, A., Connelly, B., Belgrave, D. C. M., Ezer, D., Haert, F. C. V. D., Mugisha, F., Abila, G., Arai, H., Almiraat, H., Proskurnia, J., Snyder, K., Otake-Matsuura, M., Othman, M., Glasmachers, T., Wever, W. D., … Clopath, C. (2020). AI for social good: unlocking the opportunity for positive impact. Nature Communications, 11(1).

MLA Style

Tomašev, N., et al. “AI for Social Good: Unlocking the Opportunity for Positive Impact.” Nature Communications, vol. 11, no. 1, Springer Nature, 2020.

Chicago Style

Tomašev, N, J Cornebise, F Hutter, S Mohamed, A Picciariello, B Connelly, DCM Belgrave, et al. 2020. “AI for Social Good: Unlocking the Opportunity for Positive Impact.” Nature Communications 11 (1).
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Publisher copy:: 10.1038/s41467-020-15871-z

Authors

+ Tomašev, N More by this author

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+ Cornebise, J More by this author

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+ Hutter, F More by this author

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+ Mohamed, S More by this author

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+ Picciariello, A More by this author

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+ European Research Council More from this funder

Publisher:: Springer Nature
Journal:: Nature Communications More from this journal
Volume:: 11
Issue:: 1
Article number:: 2468
Publication date:: 2020-05-18
Acceptance date:: 2020-04-01
DOI:: 10.1038/s41467-020-15871-z
EISSN:: 2041-1723
Pmid:: 32424119

Language:: English
Keywords:: FFR
Subtype:: Review
Pubs id:: 1120183
Local pid:: pubs:1120183
Deposit date:: 2020-09-17

Terms of use

Copyright holder:: Crown copyright
Copyright date:: 2020
Rights statement:: © Crown 2020

Licence:: CC Attribution (CC BY)

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