Mobi The Alignment Problem: Machine Learning and Human Values with Free EASY Reading Download Now!

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Mobi The Alignment Problem: Machine Learning and Human Values with Free PDF EDITION Download Now!

Finalist for the Los Angeles Times Book PrizeA 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.

At this time of writing, The Audiobook The Alignment Problem: Machine Learning and Human Values has garnered 10 customer reviews with rating of 5 out of 5 stars. Not a bad score at all as if you round it off, it’s actually a perfect TEN already. From the looks of that rating, we can say the Audiobook is Good TO READ!

Mobi The Alignment Problem: Machine Learning and Human Values with Free PDF EDITION!

Like the works of Steven Pinker and Daniel Dennett, this book explains cutting-edge ideas in psychology, AI, and philosophy -- ideas that are having a big impact on the world.AI and Machine Learning made huge advances in the last decade and billions of dollars flowed into R&D. This book is about the collision of new AI technologies with the human world. People want AI systems to make decisions that are reliable, understandable, and responsive to human morality and fairness. Is such “human-aligned” AI possible, and what ideas do we need to achieve it?The book narrates and explains many seminal developments in AI, including:- The birth of neural networks in the 1950s and their dramatic renaissance and take-off since 2009 as “Deep Learning”- Rich AI models for the meaning of words (“word vectors”)- Connections between motivation systems in the brain (behaviorism, dopamine) and Reinforcement Learning in AI- How Google DeepMind used neural nets to learn to play Atari and to defeat the world champion at Go- How OpenAI, founded by Elon Musk to democratize AI, pioneered techniques for training neural networks directly from human feedback.I work in this field, and I found these explanations engaging, accessible, and scientifically accurate. The author also does a great job of telling some of the human stories behind these developments.Full disclosure: As well as being a researcher on AI alignment, I am a friend of the author. I was interviewed as part of the research process for the book.

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