What Can Machines Learn, and What Does It Mean for Occupations and the Economy?
Advances in machine learning (ML) are poised to transform numerous occupations and industries. This raises the question of which tasks will be most affected by ML. We apply the rubric evaluating task potential for ML in Brynjolfsson and Mitchell (2017) to build measures of "Suitability for Mach...
| Main Authors: | , , |
|---|---|
| Other Authors: | |
| Format: | Article |
| Published: |
American Economic Association
2019
|
| Online Access: | http://hdl.handle.net/1721.1/120302 https://orcid.org/0000-0002-8031-6990 https://orcid.org/0000-0002-0317-0625 |