Data science, artificial intelligence and the futures of work

Submitted by massetti on Thu, 11/08/2018 - 10:11
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Alan Turing Institute (24.10.2018)  In this document, we offer a review of recent literature on the future of work. Using a critical review method, the report synthesises key findings about the future of work focusing on three main areas: broad research findings, emerging research directions, and innovative data science research directions. The first part of the review summarises and discusses changes in the nature and creation of jobs, assignments, and tasks; changing organisation of work and production; varying impacts of the changing nature of work on society; and the governance of these changes through politics, policy and institutions. The second section addresses potential drivers of the changing nature of work; disparate impacts of technology on different tasks; challenges for young people to boost employability; impacts of the changing nature of work on the disenfranchised; and proposals for policies and governance models to manage the transitions related to the future of work. The third section discusses research approaches and findings around the susceptibility of tasks and assignments to computerisation; industrial diversification and data-driven policy tools; and development of online labour markets.

Document Type
Digital Economy Topical Cluster
Digital Economy Observatory : Only Tags