New Kinds of Data Needed To Assess Technology’s Impact on Jobs-Machine Learning Department - Carnegie Mellon University

New Kinds of Data Needed To Assess Technology’s Impact on Jobs

Tom Mitchell co-chairs a study from the National Academies of Sciences, Engineering and Medicine (NASEM) showing new kinds of data is needed to assess technology's impact on jobs.

“Policymakers are flying blind into what has been called the fourth industrial revolution,” said study co-chairs Tom Mitchell and Erik Brynjolfsson.

Government agencies need to collect different kinds of labor data to accurately assess and predict how computer and robotic technologies will affect the workplace, Mitchell and Brynjolfsson said. Failure to do so could, at best, result in missed opportunities; at worst, it could be disastrous.

The study, “Information Technology and the U.S. Workforce: Where Are We and Where Do We Go From Here,” was released by NASEM and a related commentary by Mitchell and Brynjolfsson was published today by the journal Nature.

Read more about the study report.