1. AI for social good: unlocking the opportunity for positive impact
- Collection:
- Agricultural Communications Documentation Center (ACDC)
- Contributers:
- Tomašev, Nenad (author), Mohamed, Shakir (author), Teh, Yee Whye (author), Schaul, Tom (author), Cornebise, Julien (author), Hutter, Frank (author), Picciariello, Angela (author), Connelly, Bec (author), Snyder, Kyle (author), Belgrave, Danielle C. M. (author), Ezer, Daphne (author), Cachat van der Haert, Fanny (author), Mugisha, Frank (author), Abila, Gerald (author), Arai, Hiromi (author), Otake-Matsuura, Mihoko (author), Emtiyaz Khan, Mohammad (author), Almiraat, Hisham (author), Proskurnia, Julia (author), Othman, Mustafa (author), Glasmachers, Tobias (author), de Wever, Wilfried (author), De Winne, Ruben (author), and Clopath, Claudia (author)
- Format:
- Journal article
- Publication Date:
- 2020-05-18
- Published:
- UK: Nature Portfolio
- Location:
- Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 207 Document Number: D13090
- Journal Title:
- Nature Communications
- Journal Title Details:
- V.11, N.2468
- Notes:
- 6 pages, 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 centered 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.