*ONLINE* Ethical Matters: Machine Learning and Human Values

From the AI program which cheats at computer games to the sexist algorithm behind Google Translate, Brian Christian explores the collision between artificial intelligence and ethics.

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** At the time of announcement this is an ONLINE only event — however, subject to future government guidance, we may make physical tickets available. If this becomes possible we will announce it here, and existing ticket holders will be contacted directly. **

** Conway Hall is a charity and we politely ask you to add a donation of at least £5 when registering. **

Today's "machine-learning" systems, trained by data, are so effective that we've invited them to see and hear for us–and to make decisions on our behalf. But alarm bells are ringing. Recent years have seen an eruption of concern as the field of machine learning advances. When the systems we attempt to teach will not, in the end, do what we want or what we expect, ethical and potentially existential risks emerge. Researchers call this the alignment problem.

Systems cull resumes until, years later, we discover that they have inherent gender biases. Algorithms decide bail and parole–and appear to assess Black and White defendants differently. We can no longer assume that our mortgage application, or even our medical tests, will be seen by human eyes. And as autonomous vehicles share our streets, we are increasingly putting our lives in their hands.

From the AI program which cheats at computer games to the sexist algorithm behind Google Translate, Brian Christian explains how, as AI develops, we rapidly approach a collision between artificial intelligence and ethics. If we stand by, we face a future with unregulated algorithms that propagate our biases – and worse – violate our most sacred values. Urgent and fascinating, this is an accessible primer to the most important issue facing AI researchers today.

Brian Christian is the author of the acclaimed bestsellers "The Most Human Human," a New York Times editors' choice and a New Yorker favourite book of the year, and "Algorithms to Live By" (with Tom Griffiths), a #1 Audible bestseller, Amazon best science book of the year and MIT Technology Review best book of the year. His new book is The Alignment Problem: How Can Machines Learn Human Values?

Christian's writing has appeared in The New Yorker, The Atlantic, Wired, and The Wall Street Journal, as well as peer-reviewed journals such as Cognitive Science. He has been featured on The Daily Show and Radiolab, and has lectured at Google, Facebook, Microsoft, the Santa Fe Institute, and the London School of Economics. Christian holds degrees in computer science, philosophy, and poetry from Brown University and the University of Washington. A Visiting Scholar at the University of California, Berkeley, he lives in San Francisco.

Website: https://atlantic-books.co.uk/book/the-alignment-problem/ / brianchristian.org

Facebook: https://www.facebook.com/AtlanticBooks /

Twitter: @AtlanticBooks / @brianchristian

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** This talk will be held online using the Zoom application (available for PC, Mac, iOS and Android). A link to join the talk will be sent to ticketholders on the day of the event. **

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Category: Attractions | Talks and Lectures Speaker: Brian Christian Time: 18:30 to 20:30