Futureproof: 9 Rules for Humans in the Age of Automation.
Futureproof-9-Rules-for.pdf
ISBN: 9780593133361 | 272 pages | 7 Mb
- Futureproof: 9 Rules for Humans in the Age of Automation
- Page: 272
- Format: pdf, ePub, fb2, mobi
- ISBN: 9780593133361
- Publisher: Random House Publishing Group
Free online books to download pdf Futureproof: 9 Rules for Humans in the Age of Automation in English DJVU RTF FB2 9780593133361
Overview
“A concise, insightful and sophisticated guide to maintaining humane values in an age of new machines.”—The New York Times Book Review “While we need to rewrite the rules of the twenty-first-century economy, Kevin’s book is a great look at how people can do this on a personal level to always put humanity first.”—Andrew Yang With a new afterword by the author You are being automated. After decades of hype and sci-fi fantasies, artificial intelligence is leaping out of research labs and into the center of our lives. Automation doesn’t just threaten our jobs. It shapes our entire human experience, with AI and algorithms influencing the TV shows we watch, the music we listen to, the beliefs we hold, and the relationships we form. And while the age-old debate over whether automation will destroy jobs rages on, an even more important question is being ignored: How can we be happy, successful humans in a world that is increasingly built by and for machines? In Futureproof: 9 Rules for Humans in the Age of Automation, New York Times technology columnist Kevin Roose lays out a hopeful, pragmatic vision for how we can thrive in the age of AI and automation. He shares the secrets of people and organizations that have survived previous waves of technological change, and explains what skills are necessary to stay ahead of today’s intelligent machines, with lessons like • Be surprising, social, and scarce. • Resist machine drift. • Leave handprints. • Demote your devices. • Treat AI like a chimp army. Roose rejects the conventional wisdom that in order to succeed in the AI age, we have to become more like machines ourselves—hyper-efficient, data-driven workhorses. Instead, he says, we should focus on being more human, and doing the kinds of creative, inspiring, and meaningful things even the most advanced robots can’t do.
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