The Alignment Problem: Machine Learning and Human Values

Product Description
A jaw-dropping exploration of everything that goes wrong when we build AI systems and the movement to fix them.
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 résumés 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.
The mathematical and computational models driving these changes range in complexity from something that can fit on a spreadsheet to a complex system that might credibly be called “artificial intelligence.” They are steadily replacing both human judgment and explicitly programmed software.
In best-selling author Brian Christian’s riveting account, we meet the alignment problem’s “first-responders,” and learn their ambitious plan to solve it before our hands are completely off the wheel. In a masterful blend of history and on-the ground reporting, Christian traces the explosive growth in the field of machine learning and surveys its current, sprawling frontier. Readers encounter a discipline finding its legs amid exhilarating and sometimes terrifying progress. Whether they―and we―succeed or fail in solving the alignment problem will be a defining human story.
The Alignment Problem offers an unflinching reckoning with humanity’s biases and blind spots, our own unstated assumptions and often contradictory goals. A dazzlingly interdisciplinary work, it takes a hard look not only at our technology but at our culture―and finds a story by turns harrowing and hopeful.
Review
"The disconnect between intention and results―between what mathematician Norbert Wiener described as “the purpose put into the machine” and “the purpose we really desire”―defines the essence of “the alignment problem.” Brian Christian, an accomplished technology writer, offers a nuanced and captivating exploration of this white-hot topic, giving us along the way a survey of the state of machine learning and of the challenges it faces."
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David A. Shaywitz, Wall Street Journal\n"A fascinating, provocative, and insightful tour of all the ways that AI goes wrong and all the ways people are trying to fix it. Essential reading if you want to understand where our world is heading."
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Stuart Russell, professor of computer science, University of California, Berkeley, and author of Human Compatible\n"A new field has emerged that responds to and scrutinizes the vast technological shifts represented by our modern, virtual, algorithmically defined world. In
The Alignment Problem, Brian Christian masterfully surveys the ‘AI fairness’ community, introducing us to some of its main characters; some of its historical roots in science, philosophy, and activism; and crucially, many of its philosophical quandaries and limitations."
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Cathy O’Neil, author of Weapons of Math Destruction\n"This is the book on artificial intelligence we need right now. Brian Christian takes us on a technically fluent (yet widely accessible) journey through the most important questions facing AI and humanity. It is thought-provoking and vital reading for anyone interested in our future."
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Mike Krieger, cofounder of Instagram\n"An abundantly researched and captivating book that explores the road humanity has taken to create a successor for itself―a road that’s rich with surprising discoveries, unexpected obstacles