How to Stay Smart in a Smart World

Why Human Intelligence Still Beats Algorithms

De: Gerd Gigerenzer

Narrado por: Justin Avoth

Brought to you by Penguin.

Is more data always better?
Do algorithms really make better decisions than humans?
Can we stay in control in an increasingly automated world?

Drawing on decades of research into decision-making under uncertainty, Gerd Gigerenzer makes a compelling case for the enduring importance of human discernment in an automated world that we are told can - and will - replace our efforts.

From dating apps and self-driving cars to facial recognition and the justice system, the increasing presence of AI has been widely championed - but there are limitations and risks too. Humans are the greatest source of uncertainty in these situations and Gigerenzer shows how, when people are involved, trust in complex algorithms can lead to illusions of certainty that become a recipe for disaster.

Filled with practical examples and cutting-edge research, How to Stay Smart in a Smart World examines the growing role of AI at all levels of daily life with refreshing clarity. This book is a liferaft in a sea of information and an urgent invitation to actively shape the digital world in which we want to live.

© Gerd Gigerenzer 2022 (P) Penguin Audio 2022

Reseñas de la Crítica

Enlightening, impassioned, powerful . . . exposes the hunger for autocratic power, the political naivety and the commercial chicanery that lie behind the rise of AI (Simon Ings)

Using personal anecdotes, cutting-edge research and cautionary real-world tales, Gigerenzer deftly explains the limits and dangers of technology and AI (Chen Ly)

Compelling . . . over many years, Gerd Gigerenzer has provided evidence that humans are smarter than economists. Now he shows that they are (where it matters) smarter than computers (John Kay)

One of the world's most eminent psychologists

A fascinating invitation to keep thinking for ourselves... Vital reading for a world populated by algorithms (Konstantinos Katsikopoulos, Professor of Behavioural Science, University of Southampton)

The messages are very simple and common knowledge

The messages are very simple and common knowledge to justify a whole book and solutions are brief if at all available