Michael Veale is a doctoral researcher sitting between the Department of Science, Technology, Engineering and Public Policy (STEaPP) and the Department of Computer Science at University College London. His research focuses on building new sociotechnical tools (such as methods, software and guidelines) to assess the impact of machine-learning algorithms that make societal decisions, particularly in the public sector. He has a BSc from LSE and an MSc from Maastricht University, tweets at @mikarv and can also be found at http://michae.lv .

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    Book Review: Service Automation: Robots and the Future of Work by Leslie P. Willcocks and Mary C. Lacity

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The topic of service automation is typically shrouded in both hype and fear. In Service Automation: Robots and the […]

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    LSE Lit Fest 2016 Reading List: Eight Must-Read Books On and Around the Theme of ‘Utopia’

LSE Lit Fest 2016 Reading List: Eight Must-Read Books On and Around the Theme of ‘Utopia’

Image Credit: Batik banner at the US Social Forum in Atlanta, GA (Brooke Anderson)
Today, Monday 22nd February 2016, marks […]

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Amidst the confusion and the hype around big data, Luke Dormehl’s The Formula charts the growing influence of algorithms in modern society […]

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Creative Commons Attribution-NonCommercial-NoDerivs 2.0 UK: England & Wales
This work by LSE Review of Books is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 2.0 UK: England & Wales.