Data science, artificial intelligence and the futures of work


In this document, we offer a review of recent literature on the future of work. This review was commissioned by The Alan Turing Institute for the purpose of informing the Institute’s research strategy aiming to further data science and artificial intelligence research to address real-world problems. 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.

Citation information

Ojanperä, Sanna, O'Clery, Neave, & Graham, Mark. (2018, October 24). Data science, artificial intelligence and the futures of work. Zenodo.

Turing affiliated authors