AI for social good: unlocking the opportunity for positive impact

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 Sustaina...

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Autores principales: Tomašev, Nenad, Cornebise, Julien, Hutter, Frank, Mohamed, Shakir, Picciariello, Angela, Connelly, Bec, Belgrave, Danielle C. M., Ezer, Daphne, Haert, Fanny Cachat van der, Mugisha, Frank, Abila, Gerald, Arai, Hiromi, Almiraat, Hisham, Proskurnia, Julia, Snyder, Kyle, Otake-Matsuura, Mihoko, Othman, Mustafa, Glasmachers, Tobias, Wever, Wilfried de, Teh, Yee Whye, Khan, Mohammad Emtiyaz, Winne, Ruben De, Schaul, Tom, Clopath, Claudia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Perspective
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7235077/
https://www.ncbi.nlm.nih.gov/pubmed/32424119
http://dx.doi.org/10.1038/s41467-020-15871-z
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author Tomašev, Nenad
Cornebise, Julien
Hutter, Frank
Mohamed, Shakir
Picciariello, Angela
Connelly, Bec
Belgrave, Danielle C. M.
Ezer, Daphne
Haert, Fanny Cachat van der
Mugisha, Frank
Abila, Gerald
Arai, Hiromi
Almiraat, Hisham
Proskurnia, Julia
Snyder, Kyle
Otake-Matsuura, Mihoko
Othman, Mustafa
Glasmachers, Tobias
Wever, Wilfried de
Teh, Yee Whye
Khan, Mohammad Emtiyaz
Winne, Ruben De
Schaul, Tom
Clopath, Claudia
author_facet Tomašev, Nenad
Cornebise, Julien
Hutter, Frank
Mohamed, Shakir
Picciariello, Angela
Connelly, Bec
Belgrave, Danielle C. M.
Ezer, Daphne
Haert, Fanny Cachat van der
Mugisha, Frank
Abila, Gerald
Arai, Hiromi
Almiraat, Hisham
Proskurnia, Julia
Snyder, Kyle
Otake-Matsuura, Mihoko
Othman, Mustafa
Glasmachers, Tobias
Wever, Wilfried de
Teh, Yee Whye
Khan, Mohammad Emtiyaz
Winne, Ruben De
Schaul, Tom
Clopath, Claudia
author_sort Tomašev, Nenad
collection PubMed
description 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.
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spelling pubmed-72350772020-05-20 AI for social good: unlocking the opportunity for positive impact Tomašev, Nenad Cornebise, Julien Hutter, Frank Mohamed, Shakir Picciariello, Angela Connelly, Bec Belgrave, Danielle C. M. Ezer, Daphne Haert, Fanny Cachat van der Mugisha, Frank Abila, Gerald Arai, Hiromi Almiraat, Hisham Proskurnia, Julia Snyder, Kyle Otake-Matsuura, Mihoko Othman, Mustafa Glasmachers, Tobias Wever, Wilfried de Teh, Yee Whye Khan, Mohammad Emtiyaz Winne, Ruben De Schaul, Tom Clopath, Claudia Nat Commun Perspective 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. Nature Publishing Group UK 2020-05-18 /pmc/articles/PMC7235077/ /pubmed/32424119 http://dx.doi.org/10.1038/s41467-020-15871-z Text en © Crown 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Perspective
Tomašev, Nenad
Cornebise, Julien
Hutter, Frank
Mohamed, Shakir
Picciariello, Angela
Connelly, Bec
Belgrave, Danielle C. M.
Ezer, Daphne
Haert, Fanny Cachat van der
Mugisha, Frank
Abila, Gerald
Arai, Hiromi
Almiraat, Hisham
Proskurnia, Julia
Snyder, Kyle
Otake-Matsuura, Mihoko
Othman, Mustafa
Glasmachers, Tobias
Wever, Wilfried de
Teh, Yee Whye
Khan, Mohammad Emtiyaz
Winne, Ruben De
Schaul, Tom
Clopath, Claudia
AI for social good: unlocking the opportunity for positive impact
title AI for social good: unlocking the opportunity for positive impact
title_full AI for social good: unlocking the opportunity for positive impact
title_fullStr AI for social good: unlocking the opportunity for positive impact
title_full_unstemmed AI for social good: unlocking the opportunity for positive impact
title_short AI for social good: unlocking the opportunity for positive impact
title_sort ai for social good: unlocking the opportunity for positive impact
topic Perspective
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7235077/
https://www.ncbi.nlm.nih.gov/pubmed/32424119
http://dx.doi.org/10.1038/s41467-020-15871-z
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