How can AI become part of our business processes? Should we entrust critical decisions to completely autonomous systems?
Drawing on projects from businesses and UK government agencies, Martin Goodson explains how to increase confidence in AI systems and manage the transition to an AI-driven organization. Along the way, Martin explores the unpredictable nature of artificial intelligence systems and how mastering a handful of engineering principles can help to mitigate the risk of catastrophic failure. You’ll learn the kinds of errors artificial intelligence systems make, how to build systems that protect against common errors, and why evaluation can be much more complicated than it seems.
Martin Goodson is the chief scientist and CEO of Evolution AI, where he specializes in large-scale natural language processing. Martin has designed data science products that are in use at companies like Dun & Bradstreet, Time Inc., John Lewis, and Condé Nast. Previously, Martin was a statistician at the University of Oxford, where he conducted research on statistical matching problems for DNA sequences. He runs the largest community of machine learning practitioners in Europe, Machine Learning London, and convenes the CBI/Royal Statistical Society roundtable, AI in Financial Services. Martin’s work has been covered by publications such as the Economist, Quartz, Business Insider, TechCrunch, and others.
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