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Project Citation: 

Felten, Edward W., Raj, Manav, and Seamans, Robert. Replication data for: A Method to Link Advances in Artificial Intelligence to Occupational Abilities. Nashville, TN: American Economic Association [publisher], 2018. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2019-10-12. https://doi.org/10.3886/E114437V1

Project Description

Summary:  View help for Summary Prior episodes of automation have led to economic growth and also to many changes in the workplace. We expect the same from artificial intelligence (AI). The link between AI and labor is complex, however. To assist researchers and policymakers, we provide a method that links advances in AI to occupational abilities, and then aggregates from these abilities to the occupation level. We demonstrate the method by estimating which occupational descriptions have changed the most due to advances in AI between 2010 and 2015, and check our estimates using the Bureau of Labor Statistics scheduled update to occupational descriptions in 2016.

Scope of Project

Subject Terms:  View help for Subject Terms digitization; Occupations; Artificial Intelligence; machine learning
JEL Classification:  View help for JEL Classification
      J21 Labor Force and Employment, Size, and Structure
      J24 Human Capital; Skills; Occupational Choice; Labor Productivity
      M15 IT Management
      O33 Technological Change: Choices and Consequences; Diffusion Processes
Time Period(s):  View help for Time Period(s) 2010 – 2015
Universe:  View help for Universe Universe of occupations covered by the O*NET database.
Data Type(s):  View help for Data Type(s) other:

Methodology

Data Source:  View help for Data Source O*NET Occupational Database Electronic Frontier Foundation AI Progress Measurement Project
Unit(s) of Observation:  View help for Unit(s) of Observation Occupation,

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