What can machine learning do? Workforce implications-Reference-Cited by-同舟云学术

What can machine learning do? Workforce implications

Published:2017-12-22 Issue:6370 Volume:358 Page:1530-1534
ISSN:0036-8075
Container-title:Science
language:en
Short-container-title:Science

Author:

Brynjolfsson Erik¹²,Mitchell Tom³

Affiliation:

1. Sloan School of Management, Massachussetts Institute of Technology, Cambridge, MA 02139, USA.

2. National Bureau of Economic Research, Cambridge, MA 02138, USA.

3. Carnegie Mellon University, Pittsburgh, PA 15213, USA.

Abstract

Profound change is coming, but roles for humans remain

Publisher

American Association for the Advancement of Science (AAAS)

Subject

Multidisciplinary

Reference23 articles.

1. National Academies of Sciences, Engineering, and Medicine, Information Technology and the U.S. Workforce: Where Are We and Where Do We Go from Here? (National Academies Press, Washington, DC, 2017).

2. E. Brynjolfsson, D. Rock, C. Syverson, Artificial Intelligence and the Modern Productivity Paradox: A Class of Expectations and Statistics, NBER Working Paper 24001 (National Bureau of Economic Research, Cambridge, MA, 2017).

3. S. Legg, M. Hutter, Frontiers in Artificial Intelligence and Applications 157, 17 (2007).

4. What artificial intelligence can and can't do right now;Ng A.;Harvard Business Rev.,2016

5. M. Polanyi, The Tacit Dimension (University of Chicago Press, Chicago, 1966).

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