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Endlich ein Buch, das unser Leben einfacher macht! Jeder von uns trifft unzählige Entscheidungen am Tag. Entscheidungen, die uns viel Zeit kosten - und nicht immer zu den besten Ergebnissen führen. Das ließe sich ändern, wenn wir die Vorteile der Algorithmen stärker für uns nutzen würden. Davon sind der Wissenschaftsautor Brian Christian und der Psychologe Tom Griffiths überzeugt. In ihrem Buch zeigen sie auf, wie uns Algorithmen helfen könne...

An exploration of how computer alogorithms can be applied to our everyday lives, full of practical advice on solving common decision-making problems. Co-written by the author of "The Most Human Human

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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 align...

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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...

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How do we prevent AI working against us?

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 comput...

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. 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 te...

Endlich ein Buch, das unser Leben einfacher macht! Jeder von uns trifft unzählige Entscheidungen am Tag. Entscheidungen, die uns viel Zeit kosten - und nicht immer zu den besten Ergebnissen führen. Das ließe sich ändern, wenn wir die Vorteile der Algorithmen stärker für uns nutzen würden. Davon sind der Wissenschaftsautor Brian Christian und der Psychologe Tom Griffiths überzeugt. In ihrem Buch zeigen sie auf, wie uns Algorithmen helfen könne...

Sienna is not your normal cowgirl, for she's half-human and half-fairy. But Sienna wants nothing to do with fairies. When her ma sends her to fairy camp instead of cowgirl camp, she ain't none too happy. Not only must she deal with cliquish fairies who reject her spunky spirit and outspoken ways, she must also noodle out how to help Mother Nature end the Texas drought.

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A fascinating exploration of how insights from computer algorithms can be applied to our everyday lives, helping to solve common decision-making problems and illuminate the workings of the human mindAll our lives are constrained by limited space and time, limits that give rise to a particular set of problems. What should we do, or leave undone, in a day or a lifetime? How much messiness should we accept? What balance of new activities and fami...

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An exploration of how computer algorithms can be applied to our everyday lives, from the acclaimed author of "The Most Human Human" and a cognitive scientist.

What should we do, or leave undone, in a day or a lifetime? How much messiness should we accept? What balance of the new and familiar is the most fulfilling? These may seem like uniquely human quandaries, but they are not. Computers, like us, confront limited space and time, so computer scientists have been grappling with similar problems for decades. And the solutions they've found have much to teach us.In a dazzlingly interdisciplinary work,...