U.S. government agencies require better tools and datasets to assess how artificial intelligence, autonomous vehicles, and other emerging technologies are impacting the private-sector workforce, according to a report from the National Academy of Sciences' Committee on Information Technology, Automation, and the U.S. Workforce.
The two-year study warns policymakers are "flying blind" without information to inform their responses to disruptive workforce trends caused by advanced technology.
Study author and Carnegie Mellon University professor Tom Mitchell cites a lack of knowledge for policymakers to answer even basic queries, and he says part of the problem is rooted in the government's historical reliance on in-house data.
Mitchell suggests policymakers mix in datasets currently being produced, stored, and used by non-government organizations, at which the private sector excels.
Mitchell also notes universities are a rich data resource, as are job archives such as LinkedIn, Burning Glass, and Monster.com.
From Government Computer News
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Abstracts Copyright © 2017 Information Inc., Bethesda, Maryland, USA
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