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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.

Details e-book The Alignment Problem: Machine Learning and Human Values

🗸 Author(s):
🗸 Title: The Alignment Problem: Machine Learning and Human Values
🗸 Rating : 4.7 from 5 stars (215 reviews)
🗸 ISBN-10: 0393868338
🗸 ISBN-13: 9780393868333
🗸 Languange: English
🗸 Format ebook: PDF, EPUB, Kindle, Audio, HTML and MOBI
🗸 Supported Devices: Android, iOS, PC and Amazon Kindle

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Readers' opinions about The Alignment Problem: Machine Learning and Human Values by Brian Christian

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This captivating novel weaves together history and romance in a sweeping saga of love and loss set against the backdrop of war-torn Europe. As the world is torn apart by conflict, the lives of the protagonists are forever changed by the tumultuous events of the time. With its vivid imagery and poignant storytelling, this book is a moving tribute to the resilience of the human spirit.
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Explore the depths of human emotion with this powerful collection of poetry, where words dance off the page and into the heart. From love and longing to despair and redemption, each poem offers a glimpse into the human experience in all its complexity. With its evocative imagery and lyrical prose, this book is a testament to the enduring power of poetry to move and inspire.

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