The truth about AI – garbage in, garbage out

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Exploring new ideas, new AI isn't magic, but many of us are accustomed to thinking and talking about it as if it was. It can't solve every problem and its application can sometimes make matters worse. To make the most of Artificial Intelligence we should follow the dictum often used by data scientists – garbage in, garbage out. In other words, AI is only as good as the person who deploys it. In this episode we explore several cautionary examples.GuestsDr Guillaume Desjardins – Associate Professor, Industrial Relations, Université du Québec en OutaouaisDr Magdalena Soffia – Lead author, Workplace AI study, Institute for Work, UKVirginie Simoneau-Gillbert – Researcher, Uehiro Centre for Practical Ethics, University of OxfordDr Wellett Potter – Lecturer in Law, University of New EnglandFurther informationBriefing Paper: What impact does exposure to workplace technologies have on workers' quality of life? - IFOW The Dangers of AI farming (animals)approaches, new technologies — the edge of change.

The truth about AI – garbage in, garbage out

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Algorithmic audiencing, bioluminescent lighting and the virtues of a circular city
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