Transcription of Artificial Intelligence and the Modern Productivity ...
{{id}} {{{paragraph}}}
Artificial Intelligence and the Modern Productivity Paradox: A Clash of Expectations and Statistics (This is a minor revision of NBER Working Paper No. 24001) Erik Brynjolfsson, MIT Sloan School of Management and NBER Daniel Rock, MIT Sloan School of Management Chad Syverson, University of Chicago Booth School of Business and NBER October 2017; Revised December 2017 Abstract. We live in an age of paradox. Systems using Artificial Intelligence match or surpass human-level performance in more and more domains, leveraging rapid advances in other technologies and driving soaring stock prices.
1 . The discussion around the recent patterns in aggregate productivity growth highlights a seeming contradiction. On the one hand, there are astonishing examples of
Domain:
Source:
Link to this page:
Please notify us if you found a problem with this document:
{{id}} {{{paragraph}}}
Productivity and Growth, Productivity and Growth in Manufacturing Industries, Measuring Productivity - OECD Manual, Productivity growth, Growth, Productivity, Skills for improved productivity, employment growth and development, Skills for improved productivity, employment, Skills for improved productivity, employment growth, Economic growth, Reconciling Models of Diffusion and Innovation