The Alignment Problem: How Can Machines Learn Human Values?

Christian, Brian

ISBN 10: 1786494337 / ISBN 13: 9781786494337

Edité par Atlantic Books, 2021

Wie neu/Like new. N° de réf. du vendeur M01786494337-N

Synopsis :

'If you're going to read one book on artificial intelligence, this is the one.' New York Times

'The Alignment Problem is the best book on the key technical and moral questions of A.I. that I've read.' Ezra Klein

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 Alignment 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 AI researchers today.

À propos de l?auteur: Brian Christian is the author of the acclaimed bestsellers The Most Human Human and Algorithms to Live By, which have been translated into nineteen languages. A visiting scholar at the University of California, Berkeley, he lives in San Francisco.

Détails bibliographiques

Titre : The Alignment Problem: How Can Machines ...
Éditeur : Atlantic Books
Date d'édition : 2021
Reliure : Couverture souple
Etat : as new