Nature Communications (May 2020)
AI for social good: unlocking the opportunity for positive impact
- 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
Affiliations
- Nenad Tomašev
- DeepMind
- Julien Cornebise
- Department of Computer Science, University College London
- Frank Hutter
- Department of Computer Science, University of Freiburg
- Shakir Mohamed
- DeepMind
- Angela Picciariello
- Oxfam GB
- Bec Connelly
- RNW Media
- Danielle C. M. Belgrave
- Microsoft Research
- Daphne Ezer
- University of Warwick
- Fanny Cachat van der Haert
- International Commission of Jurists
- Frank Mugisha
- Chemonics International Inc.
- Gerald Abila
- BarefootLaw
- Hiromi Arai
- RIKEN Center for AI Project
- Hisham Almiraat
- Justice and Peace Netherlands
- Julia Proskurnia
- Kyle Snyder
- RNW Media
- Mihoko Otake-Matsuura
- RIKEN Center for AI Project
- Mustafa Othman
- Shaqodoon Organization
- Tobias Glasmachers
- Institute for Neural Computation, Ruhr-University Bochum
- Wilfried de Wever
- SEMA
- Yee Whye Teh
- DeepMind
- Mohammad Emtiyaz Khan
- RIKEN Center for AI Project
- Ruben De Winne
- Oxfam Novib
- Tom Schaul
- DeepMind
- Claudia Clopath
- Department of Bioengineering, Imperial College London
- DOI
- https://doi.org/10.1038/s41467-020-15871-z
- Journal volume & issue
-
Vol. 11,
no. 1
pp. 1 – 6
Abstract
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.
