AI for social good: unlocking the opportunity for positive impact

Reference Type:

Journal Article

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Published In:

Nature Communications

Year:

2020

Author(s):

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

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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.