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    Start Over Subject Term Artificial intelligence application Journal Title Nature Communications

    1. AI for social good: unlocking the opportunity for positive impact

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    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.