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The Alignment Problem : How Can Machines Learn Human Values?

Brian Christian

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The Alignment Problem : How Can Machines Learn Human Values?

by Brian Christian
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The Alignment Problem : How Can Machines Learn Human Values? - Thryft
The Alignment Problem : How Can Machines Learn Human Values? - Thryft
  • Los Angeles Times Book Prize Nominee for Science & Technology (2020)
Note: While we do our best to ensure the accuracy of cover images, ISBNs may at times be reused for different editions of the same title which may hence appear as a different cover.
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The Alignment Problem : How Can Machines Learn Human Values?

by Brian Christian
Save up to 30%
Condition guide

Book Condition Guide

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ISBN: 9781786494313
Author: Brian Christian
Date of Publication: 2020-10-06
Related Collections: Science, Technology, Sociology
Related Topics: Artificial Intelligence, Computers, Ethics, Technology, Social Issues, Technology
Goodreads rating: 4.42
(rated by 2131 readers)

Description

Artificial intelligence is rapidly dominating every aspect of our modern lives influencing the news we consume, whether we get a mortgage, and even which friends wish us happy birthday. But as algorithms make ever more decisions on our behalf, how do we ensure they do what we want? And fairly?This conundrum - dubbed 'The Control Problem' by experts - is the subject of this timely and important book. From the AI program which cheats at computer games to the sexist algorithm behind Google Translate, bestselling author Brian Christian explains how, as AI develops, we rapidly approach a collision between artificial intelligence and ethics. If we stand by, we face a future with unregulated algorithms that propagate our biases - and worse - violate our most sacred values. Urgent and fascinating, this is an accessible primer to the most important issue facing Al researchers today.
 
  • Los Angeles Times Book Prize Nominee for Science & Technology (2020)
Note: While we do our best to ensure the accuracy of cover images, ISBNs may at times be reused for different editions of the same title which may hence appear as a different cover.

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