AI for social good: unlocking the opportunity for positive impact
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...
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Nature Portfolio
2020
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oai:doaj.org-article:7387a9d909244c1892f82044204fa9ec2021-12-02T15:52:45ZAI for social good: unlocking the opportunity for positive impact10.1038/s41467-020-15871-z2041-1723https://doaj.org/article/7387a9d909244c1892f82044204fa9ec2020-05-01T00:00:00Zhttps://doi.org/10.1038/s41467-020-15871-zhttps://doaj.org/toc/2041-1723The 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.Nenad TomaševJulien CornebiseFrank HutterShakir MohamedAngela PicciarielloBec ConnellyDanielle C. M. BelgraveDaphne EzerFanny Cachat van der HaertFrank MugishaGerald AbilaHiromi AraiHisham AlmiraatJulia ProskurniaKyle SnyderMihoko Otake-MatsuuraMustafa OthmanTobias GlasmachersWilfried de WeverYee Whye TehMohammad Emtiyaz KhanRuben De WinneTom SchaulClaudia ClopathNature PortfolioarticleScienceQENNature Communications, Vol 11, Iss 1, Pp 1-6 (2020) |
| institution |
DOAJ |
| collection |
DOAJ |
| language |
EN |
| topic |
Science Q |
| spellingShingle |
Science Q 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 AI for social good: unlocking the opportunity for positive impact |
| description |
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. |
| format |
article |
| author |
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 |
| author_facet |
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 |
| author_sort |
Nenad Tomašev |
| title |
AI for social good: unlocking the opportunity for positive impact |
| title_short |
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_sort |
ai for social good: unlocking the opportunity for positive impact |
| publisher |
Nature Portfolio |
| publishDate |
2020 |
| url |
https://doaj.org/article/7387a9d909244c1892f82044204fa9ec |
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