AI research continues to be predominantly male-driven according to this annual index of key indicators compiled by the AI research community.
REPRESENTATIVE FINDINGS
- Demographics of AI professors: 80% male (sample of seven leading faculties worldwide)
Applicant pool for AI jobs inUSA : 71% male- Largest originators of AI papers in 2018: Europe (28%), China (25%), USA (17%)
- Where business is using AI: Strengthening core areas; for example, in supply-chain management for retail; in risk for financial services; in manufacturing for automotive
- Training time for a network to classify images using ImageNet, Jun 17 to Nov 18: 16x faster
- Media coverage of AI, 2016-2018: 2.5x more positive
‘AI papers in China are more focused on Engineering and Technology and Agricultural Sciences, while AI papers in the U.S. and Europe tend to focus on Humanities and Health Sciences’
MEMBERS OF THE PROJECT STEERING GROUP
- Yoav Shoham (Chair), Stanford University
- Raymond Perrault, SRI International
- Erik Brynjolfsson, MIT
- Jack Clark, OpenAI
- James Manyika, McKinsey Global Institute
- Juan Carlos Niebles, Stanford University
- Terah Lyons, Partnership On AI
- John Etchemendy, Stanford University
- Barbara Grosz, Harvard University
- Zoe Bauer, Project Manager
Artificial intelligence index: 2018 annual report
AI INDEX STEERING COMMITTEE | December 2018