And as autonomous vehicles share our streets, we are increasingly putting our lives in their hands. We can no longer assume that our mortgage application, or even our medical tests, will be seen by human eyes. Algorithms decide bail and parole-and appear to assess Black and White defendants differently. Systems cull résumés until, years later, we discover that they have inherent gender biases. Researchers call this the alignment problem.
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. Recent years have seen an eruption of concern as the field of machine learning advances. 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. Urgent and fascinating, this is an accessible primer to the most important issue facing AI researchers today.A jaw-dropping exploration of everything that goes wrong when we build AI systems and the movement to fix them. If we stand by, we face a future with unregulated algorithms that propagate our biases - and worse - violate our most sacred values.
From the AI program which cheats at computer games to the sexist algorithm behind Google Translate, bestselling author Brian Christian explains how, as AI develops, we rapidly approach a collision between artificial intelligence and ethics. But as algorithms make ever more decisions on our behalf, how do we ensure they do what we want? And fairly?This conundrum - dubbed 'The Alignment Problem' by experts - is the subject of this timely and important book. This is the book on artificial intelligence we need right now.' Mike Krieger, cofounder of Instagram Artificial intelligence is rapidly dominating every aspect of our modern lives influencing the news we consume, whether we get a mortgage, and even which friends wish us happy birthday.
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