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Taming Silicon Valley: How to Protect Our Jobs, Safety, and Society in the Age of AI [Mīkstie vāki]

4.05/5 (228 ratings by Goodreads)
  • Formāts: Paperback / softback, 96 pages, height x width: 203x133 mm, weight: 369 g, 20 BLACK AND WHITE ILLUS.
  • Izdošanas datums: 17-Sep-2024
  • Izdevniecība: MIT Press
  • ISBN-10: 0262551063
  • ISBN-13: 9780262551069
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  • Cena: 21,87 €
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  • Formāts: Paperback / softback, 96 pages, height x width: 203x133 mm, weight: 369 g, 20 BLACK AND WHITE ILLUS.
  • Izdošanas datums: 17-Sep-2024
  • Izdevniecība: MIT Press
  • ISBN-10: 0262551063
  • ISBN-13: 9780262551069
Citas grāmatas par šo tēmu:
"An expert on AI safety explains what we must do now to minimize the serious harms and threats that AI poses while realizing its benefits for society"--

How Big Tech is taking advantage of us, how AI is making it worse, and how we can create a thriving, AI-positive world.

On balance, will AI help humanity or harm it? AI could revolutionize science, medicine, and technology, and deliver us a world of abundance and better health. Or it could be a disaster, leading to the downfall of democracy, or even our extinction. In Taming Silicon Valley, Gary Marcus, one of the most trusted voices in AI, explains that we still have a choice. And that the decisions we make now about AI will shape our next century. In this short but powerful manifesto, Marcus explains how Big Tech is taking advantage of us, how AI could make things much worse, and, most importantly, what we can do to safeguard our democracy, our society, and our future.

Marcus explains the potential—and potential risks—of AI in the clearest possible terms and how Big Tech has effectively captured policymakers. He begins by laying out what is lacking in current AI, what the greatest risks of AI are, and how Big Tech has been playing both the public and the government, before digging into why the US government has thus far been ineffective at reining in Big Tech. He then offers real tools for readers, including eight suggestions for what a coherent AI policy should look like—from data rights to layered AI oversight to meaningful tax reform—and closes with how ordinary citizens can push for what is so desperately needed.

Taming Silicon Valley is both a primer on how AI has gotten to its problematic present state and a book of activism in the tradition of Abbie Hoffman’s Steal This Book and Thomas Paine’s Common Sense. It is a deeply important book for our perilous historical moment that every concerned citizen must read.

Recenzijas

Included in the New Yorker's Best Books of 2024 list

Featured in the New Yorker, the New York Review of Books, Politico, Big Think, Bloomberg TV, LARB, Foreign Policy, Marketplace, IEEE Spectrum, Forbes, the Next Big Idea Club, the Guardian,  Fortune, and more

"This polemic, by a cognitive scientist and startup founder, calls for stricter regulation of A.I. It begins with problems posed by generative A.I. (the kind that spits out text, images, and other data, and which currently fuels the largest A.I. companies businesses). These include misinformation, pornographic deepfakes, impersonation scams, and the use of publicly available material as training data, which Marcus equates to a land grab. His warnings are framed by critiques of A.I. developments current direction, which has privileged deep learning over potentially more fruitful methods, and of what he argues is the tech industrys moral decline." The New Yorker's "Briefly Noted"

"With passion and expertise, Marcus sounds a strong call to action." Kirkus Reviews, KIRKUS STAR

Marcus also makes a persuasive case for more ambitious policies, arguing that because AI will likely render some jobs obsolete, the federal government should consider instituting a universal basic income to cushion those affected. Shrewd and levelheaded, this provides plenty to ponder. Publishers Weekly

"An honest must read...very accessible. It paints a very clear picture of both the benefits and challenges of artificial intelligence. We need to prepare for, not react to, the coming changes. Reacting will be too late. The danger is that governments tend to move too slowly while a few tech corporations are moving much faster and in questionable directions. Reading this book will help people understand that we need to pressure governments now to move faster so that we can gain the benefits while minimizing the risks inherent in AI." Forbes

[ A] sweeping polemic about how Big Tech will run roughshod over consumers and American democracy itself absent regulatory intervention. Politico

Mighty. The New York Review of Books

I recommend reading Taming Silicon Valley if youre unfamiliar with the main concerns about generative AI and its leading commercial developers. For those with a vague sense of unease, it will provide a detailed explanation of specific risks. The Los Angeles Review of Books

The book should be required reading for anyone whose life will be touched in any small part by AI, which is pretty much everyone today. . . As always, Marcus writes in a strong voice that moves through the material in a breezy, commanding style, backed by a solid command of science and technology. ZDNET

Contents
Preface: If we don't change course, we will lose society as we know it
1. The seven biggest threats of inaction
2. The moral descent of Silicon Valley
3. Eight things we should insist on
4. The time for action is now
Gary F. Marcus is a scientist, best-selling author, and was Founder and CEO Geometric.AI, a machine learning company that was acquired by Uber. He is well-known for his challenges to contemporary AI and for his research in human language development and cognitive neuroscience. An Emeritus Professor of Psychology and Neural Science at NYU, he is the author of five books, including, The Algebraic Mind, Kluge, The Birth of the Mind, and the New York Times bestseller Guitar Zero, and well-known for his public appearances at places like Davos and TED, and for his recent testimony at the US Senate. His most recent book Rebooting AI, with Ernest Davis, is one of Forbes s seven Must-Read Books in AI.