AI for social good: unlocking the opportunity for positive impact

• Published in: Nature communications Vol. 11; no. 1; pp. 2468 - 6
• Main Authors: 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
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 18.05.2020; Nature Publishing Group; Nature Portfolio
• Subjects: 119/118; 706/134; 706/648/179; Artificial intelligence; Domains; Guidelines; Humanities and Social Sciences; Learning algorithms; Machine learning; multidisciplinary; Partnerships; Perspective; Researchers; Science; Science (multidisciplinary); Social impact; Subject specialists; Sustainable development

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...