FINANCE & DEVELOPMENT(Credit: Getty Images) Artificial intelligence-based technologies can target aid and credit better and improve access to tailored teaching and medical advice, but balancing these risks and opportunities calls for local innovation and adaptation, write Columbia’s Daniel Björkegren and Berkeley’s Joshua Blumenstock for Finance & Development magazine. Most recent advances in AI originated in wealthy nations—developed in those countries for local users, using local data. Over the past several years, the authors have conducted research with partners in low-income nations, working on AI applications for those countries, users, and data. “AI systems will require investment in knowledge infrastructure, especially in developing economies, where data gaps persist and the poor are digitally underrepresented.” This article appears in the December issue of F&D, which focuses on what artificial Intelligence means for economics. Read other articles by Daron Acemoglu, Simon Johnson, Ian Bremmer, Mustafa Suleyman, Anton Korinek, Hélène Landemore, Nandan Nilekani, Tanuj Bhojwani, Gita Gopinath, Robert Horn, Jeremy Wagstaff, Kerry Dooley Young, Eswar Prasad, Anil Ari, Lev Ratnovski, Christopher Evans, Marika Santoro, Martin Stuermer, Gita Bhatt, Erik Brynjolfsson, Gabriel Unger, Andrew Berg, Chris Papageorgiou, Maryam Vaziri, and many more. |