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The idea of Artificial Intelligence (AI) has taken the world by storm. From fears over killer robots in sci-fi dystopias, to driverless cars in real life, we are both inspired and horrified by the prospect of an advanced intelligence that is not our own. Could AI take over the world? Will it take all of our jobs? Has Google really created a sentient chatbot, and is AI racing towards human intelligence, or is it just horribly misunderstood? These common questions point us towards an unknown and troubling future. What we do know is that we are in the midst of a hype cycle, with huge amounts of funding and focus galvanising progress. Whether AI truly lives up to this hype remains to be seen, but this once niche idea has suddenly evolved into a global multibillion dollar industry. In this short and accessible book, Ewa Luger explains what we mean when we talk about AI, explores how we got here, describes what we are doing about it, where the field is heading, and where we should go next.
Written by leading social scientists, the What Do We Know and What Should We Do About...? series offers concise, up-to-date overviews of issues often oversimplified, misrepresented or misunderstood and shows you how to enact change.
"Short, sharp and compelling." - Alex Preston, The Observer
"If you want to learn a lot about what matters most, in as short a time as possible, this is the series for you."- Danny Dorling, 1971 Professor of Geography, University of Oxford
List of contents
Introduction
A Brief history of artificial intelligence
What do we know about artificial intelligence and Data-driven systems?
What should we do about artificial intelligence?
Conclusion
About the author
Ewa Luger is Professor of Human-Data Interaction at the University of Edinburgh, Co-Director of the Institute of Design Informatics, Fellow of the Alan Turing Institute, and Director of Research Innovation for Edinburgh College of Art. Her research explores the social, ethical and Design implications of Artificial Intelligence. She advises government and industry and was previously a researcher at Microsoft Research and a fellow at Corpus Christi College, University of Cambridge.
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If you want to learn a lot about what matters most, in as short a time as possible, this is the series for you.
Danny Dorling 20190717
