
The Ethical Algorithm
The Science of Socially Aware Algorithm Design
No se pudo agregar al carrito
Add to Cart failed.
Error al Agregar a Lista de Deseos.
Error al eliminar de la lista de deseos.
Error al añadir a tu biblioteca
Error al seguir el podcast
Error al dejar de seguir el podcast
$0.99/mes por los primeros 3 meses

Compra ahora por $17.19
No default payment method selected.
We are sorry. We are not allowed to sell this product with the selected payment method
-
Narrado por:
-
Teri Schnaubelt
Acerca de esta escucha
Over the course of a generation, algorithms have gone from mathematical abstractions to powerful mediators of daily life. Algorithms have made our lives more efficient, more entertaining, and, sometimes, better informed. At the same time, complex algorithms are increasingly violating the basic rights of individual citizens. Allegedly anonymized datasets routinely leak our most sensitive personal information; statistical models for everything from mortgages to college admissions reflect racial and gender bias. Meanwhile, users manipulate algorithms to "game" search engines, spam filters, online reviewing services, and navigation apps.
Understanding and improving the science behind the algorithms that run our lives is rapidly becoming one of the most pressing issues of this century. Traditional fixes, such as laws, regulations, and watchdog groups, have proven woefully inadequate. Reporting from the cutting edge of scientific research, The Ethical Algorithm offers a new approach: a set of principled solutions based on the emerging and exciting science of socially aware algorithm design. Michael Kearns and Aaron Roth explain how we can better embed human principles into machine code - without halting the advance of data-driven scientific exploration.
PLEASE NOTE: When you purchase this title, the accompanying PDF will be available in your Audible Library along with the audio.
©2020 Michael Kearns and Aaron Roth (P)2020 TantorLos oyentes también disfrutaron...
-
The Alignment Problem
- Machine Learning and Human Values
- De: Brian Christian
- Narrado por: Brian Christian
- Duración: 13 h y 33 m
- Versión completa
-
General
-
Narración:
-
Historia
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 tests, will be seen by human eyes. And autonomous vehicles on our streets can injure or kill.
-
-
Required reading for any AI course
- De ehan ferguson en 11-16-20
De: Brian Christian
-
AI Ethics
- MIT Press Essential Knowledge Series
- De: Mark Coeckelbergh
- Narrado por: Liam Gerrard
- Duración: 4 h y 9 m
- Versión completa
-
General
-
Narración:
-
Historia
Artificial intelligence powers Google's search engine, enables Facebook to target advertising, and allows Alexa and Siri to do their jobs. AI is also behind self-driving cars, predictive policing, and autonomous weapons that can kill without human intervention. These and other AI applications raise complex ethical issues that are the subject of ongoing debate. This volume in the MIT Press Essential Knowledge series offers an accessible synthesis of these issues.
-
-
Great book, not for beginners.
- De Santiago en 05-12-23
-
Human Compatible
- Artificial Intelligence and the Problem of Control
- De: Stuart Russell
- Narrado por: Raphael Corkhill
- Duración: 11 h y 38 m
- Versión completa
-
General
-
Narración:
-
Historia
In the popular imagination, superhuman artificial intelligence is an approaching tidal wave that threatens not just jobs and human relationships, but civilization itself. Conflict between humans and machines is seen as inevitable and its outcome all too predictable. In this groundbreaking audiobook, distinguished AI researcher Stuart Russell argues that this scenario can be avoided, but only if we rethink AI from the ground up. Russell begins by exploring the idea of intelligence in humans and in machines.
-
-
Good General Introduction to AI Topic
- De Catherine Puma en 03-26-20
De: Stuart Russell
-
Atlas of AI
- Power, Politics, and the Planetary Costs of Artificial Intelligence
- De: Kate Crawford
- Narrado por: Larissa Gallagher
- Duración: 8 h y 53 m
- Versión completa
-
General
-
Narración:
-
Historia
What happens when artificial intelligence saturates political life and depletes the planet? How is AI shaping our understanding of ourselves and our societies? Drawing on more than a decade of research, award-winning scholar Kate Crawford reveals how AI is a technology of extraction: from the minerals drawn from the earth, to the labor pulled from low-wage information workers, to the data taken from every action and expression. This book reveals how this planetary network is fueling a shift toward undemocratic governance and increased inequity.
-
-
A fascinating and thought provoking examination of
- De Tom Dawkins en 03-13-23
De: Kate Crawford
-
Hooked: How to Build Habit-Forming Products
- De: Nir Eyal, Ryan Hoover
- Narrado por: Nir Eyal
- Duración: 4 h y 40 m
- Versión completa
-
General
-
Narración:
-
Historia
Why do some products capture our attention, while others flop? What makes us engage with certain products out of habit? Is there a pattern underlying how technologies hook us? This audiobook introduces listeners to the "Hooked Model", a four-step process companies use to build customer habits. Through consecutive cycles through the hook, successful products reach their ultimate goal of bringing users back repeatedly - without depending on costly advertising or aggressive messaging.
-
-
Great book, wish the narration was a little better.
- De Todays The Best Day - Dani Davis en 07-21-15
De: Nir Eyal, y otros
-
Weapons of Math Destruction
- How Big Data Increases Inequality and Threatens Democracy
- De: Cathy O'Neil
- Narrado por: Cathy O'Neil
- Duración: 6 h y 23 m
- Versión completa
-
General
-
Narración:
-
Historia
We live in the age of the algorithm. Increasingly, the decisions that affect our lives—where we go to school, whether we can get a job or a loan, how much we pay for health insurance—are being made not by humans, but by machines. In theory, this should lead to greater fairness: Everyone is judged according to the same rules.
-
-
More are US social problems that WMD
- De Laurent Bourgault-Roy en 01-08-17
De: Cathy O'Neil
-
The Alignment Problem
- Machine Learning and Human Values
- De: Brian Christian
- Narrado por: Brian Christian
- Duración: 13 h y 33 m
- Versión completa
-
General
-
Narración:
-
Historia
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 tests, will be seen by human eyes. And autonomous vehicles on our streets can injure or kill.
-
-
Required reading for any AI course
- De ehan ferguson en 11-16-20
De: Brian Christian
-
AI Ethics
- MIT Press Essential Knowledge Series
- De: Mark Coeckelbergh
- Narrado por: Liam Gerrard
- Duración: 4 h y 9 m
- Versión completa
-
General
-
Narración:
-
Historia
Artificial intelligence powers Google's search engine, enables Facebook to target advertising, and allows Alexa and Siri to do their jobs. AI is also behind self-driving cars, predictive policing, and autonomous weapons that can kill without human intervention. These and other AI applications raise complex ethical issues that are the subject of ongoing debate. This volume in the MIT Press Essential Knowledge series offers an accessible synthesis of these issues.
-
-
Great book, not for beginners.
- De Santiago en 05-12-23
-
Human Compatible
- Artificial Intelligence and the Problem of Control
- De: Stuart Russell
- Narrado por: Raphael Corkhill
- Duración: 11 h y 38 m
- Versión completa
-
General
-
Narración:
-
Historia
In the popular imagination, superhuman artificial intelligence is an approaching tidal wave that threatens not just jobs and human relationships, but civilization itself. Conflict between humans and machines is seen as inevitable and its outcome all too predictable. In this groundbreaking audiobook, distinguished AI researcher Stuart Russell argues that this scenario can be avoided, but only if we rethink AI from the ground up. Russell begins by exploring the idea of intelligence in humans and in machines.
-
-
Good General Introduction to AI Topic
- De Catherine Puma en 03-26-20
De: Stuart Russell
-
Atlas of AI
- Power, Politics, and the Planetary Costs of Artificial Intelligence
- De: Kate Crawford
- Narrado por: Larissa Gallagher
- Duración: 8 h y 53 m
- Versión completa
-
General
-
Narración:
-
Historia
What happens when artificial intelligence saturates political life and depletes the planet? How is AI shaping our understanding of ourselves and our societies? Drawing on more than a decade of research, award-winning scholar Kate Crawford reveals how AI is a technology of extraction: from the minerals drawn from the earth, to the labor pulled from low-wage information workers, to the data taken from every action and expression. This book reveals how this planetary network is fueling a shift toward undemocratic governance and increased inequity.
-
-
A fascinating and thought provoking examination of
- De Tom Dawkins en 03-13-23
De: Kate Crawford
-
Hooked: How to Build Habit-Forming Products
- De: Nir Eyal, Ryan Hoover
- Narrado por: Nir Eyal
- Duración: 4 h y 40 m
- Versión completa
-
General
-
Narración:
-
Historia
Why do some products capture our attention, while others flop? What makes us engage with certain products out of habit? Is there a pattern underlying how technologies hook us? This audiobook introduces listeners to the "Hooked Model", a four-step process companies use to build customer habits. Through consecutive cycles through the hook, successful products reach their ultimate goal of bringing users back repeatedly - without depending on costly advertising or aggressive messaging.
-
-
Great book, wish the narration was a little better.
- De Todays The Best Day - Dani Davis en 07-21-15
De: Nir Eyal, y otros
-
Weapons of Math Destruction
- How Big Data Increases Inequality and Threatens Democracy
- De: Cathy O'Neil
- Narrado por: Cathy O'Neil
- Duración: 6 h y 23 m
- Versión completa
-
General
-
Narración:
-
Historia
We live in the age of the algorithm. Increasingly, the decisions that affect our lives—where we go to school, whether we can get a job or a loan, how much we pay for health insurance—are being made not by humans, but by machines. In theory, this should lead to greater fairness: Everyone is judged according to the same rules.
-
-
More are US social problems that WMD
- De Laurent Bourgault-Roy en 01-08-17
De: Cathy O'Neil
-
The Coming Wave
- AI, Power, and Our Future
- De: Mustafa Suleyman, Michael Bhaskar - contributor
- Narrado por: Mustafa Suleyman
- Duración: 12 h y 7 m
- Versión completa
-
General
-
Narración:
-
Historia
We are approaching a critical threshold in the history of our species. Everything is about to change. Soon you will live surrounded by AIs. They will organize your life, operate your business, and run core government services. You will live in a world of DNA printers and quantum computers, engineered pathogens and autonomous weapons, robot assistants and abundant energy.
-
-
Click bait
- De Buyer en 09-11-23
De: Mustafa Suleyman, y otros
-
Ethical Machines
- Your Concise Guide to Totally Unbiased, Transparent, and Respectful AI
- De: Reid Blackman
- Narrado por: Stephen Bel Davies
- Duración: 5 h y 30 m
- Versión completa
-
General
-
Narración:
-
Historia
The promise of artificial intelligence is automated decision-making at scale, but that means AI also automates risk at scale. In Ethical Machines, Reid Blackman gives you all you need to understand AI ethics as a risk management challenge. He'll help you build, procure, and deploy AI in a way that's not only ethical but also safe in terms of your organization's reputation, regulatory compliance, and legal standing—and do it at scale. And don't worry—the book's purpose is to get work done, not to ponder deep and existential questions about ethics and technology.
-
-
A book about mistakes
- De Angus (Thom) McLean en 11-20-24
De: Reid Blackman
-
A Brief History of Artificial Intelligence
- What It Is, Where We Are, and Where We Are Going
- De: Michael Wooldridge
- Narrado por: Glen McCready
- Duración: 8 h y 8 m
- Versión completa
-
General
-
Narración:
-
Historia
From Oxford's leading AI researcher comes a fun and accessible tour through the history and future of one of the most cutting edge and misunderstood field in science: artificial intelligence.
-
-
very basic.
- De Placeholder en 11-11-21
-
The Book of Why
- The New Science of Cause and Effect
- De: Judea Pearl, Dana Mackenzie
- Narrado por: Mel Foster
- Duración: 15 h y 14 m
- Versión completa
-
General
-
Narración:
-
Historia
"Correlation does not imply causation". This mantra has been invoked by scientists for decades and has led to a virtual prohibition on causal talk. But today, that taboo is dead. The causal revolution, sparked by Judea Pearl and his colleagues, has cut through a century of confusion and placed causality - the study of cause and effect - on a firm scientific basis.
-
-
Great book! Not a great audiobook.
- De rrwright en 05-30-18
De: Judea Pearl, y otros
-
Noise
- A Flaw in Human Judgment
- De: Daniel Kahneman, Olivier Sibony, Cass R. Sunstein
- Narrado por: Jonathan Todd Ross
- Duración: 13 h y 28 m
- Versión completa
-
General
-
Narración:
-
Historia
From the best-selling author of Thinking, Fast and Slow, the co-author of Nudge, and the author of You Are About to Make a Terrible Mistake! comes Noise, a revolutionary exploration of why people make bad judgments, and how to control both noise and cognitive bias.
-
-
Disappointing
- De Z28 en 05-31-21
De: Daniel Kahneman, y otros
-
Algorithms to Live By
- The Computer Science of Human Decisions
- De: Brian Christian, Tom Griffiths
- Narrado por: Brian Christian
- Duración: 11 h y 50 m
- Versión completa
-
General
-
Narración:
-
Historia
From finding a spouse to finding a parking spot, from organizing one's inbox to understanding the workings of human memory, Algorithms to Live By transforms the wisdom of computer science into strategies for human living.
-
-
Great listen, just don't expect tips!
- De Adam Hosman en 08-07-17
De: Brian Christian, y otros
-
Prediction Machines
- The Simple Economics of Artificial Intelligence
- De: Ajay Agrawal, Joshua Gans, Avi Goldfarb
- Narrado por: LJ Ganser
- Duración: 7 h y 50 m
- Versión completa
-
General
-
Narración:
-
Historia
Artificial intelligence does the seemingly impossible - driving cars, trading stocks, and teaching children. But facing the sea change that AI will bring can be paralyzing. How should companies set strategies, governments design policies, and people plan their lives for a world so different from what we know? In Prediction Machines, three eminent economists recast the rise of AI as a drop in the cost of prediction. With this single, masterful stroke, they lift the curtain on the AI-is-magic hype and show how basic tools from economics provide clarity about the AI revolution and a basis for action by CEOs, managers, policy makers, investors, and entrepreneurs.
-
-
Not sure what I was expecting, but underwhelmed
- De William J Brown en 09-27-18
De: Ajay Agrawal, y otros
-
The Myth of Artificial Intelligence
- Why Computers Can’t Think the Way We Do
- De: Erik J. Larson
- Narrado por: Perry Daniels
- Duración: 10 h y 9 m
- Versión completa
-
General
-
Narración:
-
Historia
Futurists insist that AI will soon eclipse the capacities of the most gifted human mind. What hope do we have against superintelligent machines? But we aren't really on the path to developing intelligent machines. In fact, we don't even know where that path might be. Erik Larson takes us on a tour of the landscape of AI to show how far we are from superintelligence and what it would take to get there.
-
-
dead wrong after 2 years
- De K. Lyon en 07-11-23
De: Erik J. Larson
-
Build
- An Unorthodox Guide to Making Things Worth Making
- De: Tony Fadell
- Narrado por: Tony Fadell, Roger Wayne
- Duración: 11 h y 5 m
- Versión completa
-
General
-
Narración:
-
Historia
Tony Fadell led the teams that created the iPod, iPhone and Nest Learning Thermostat and learned enough in 30+ years in Silicon Valley about leadership, design, startups, Apple, Google, decision-making, mentorship, devastating failure and unbelievable success to fill an encyclopedia.
-
-
Best guide for start up founders, ever!!!
- De Curly Beard en 05-28-22
De: Tony Fadell
-
AI 2041
- Ten Visions for Our Future
- De: Kai-Fu Lee, Chen Qiufan
- Narrado por: Feodor Chin, Justin Chien, Soneela Nankani, y otros
- Duración: 18 h y 4 m
- Versión completa
-
General
-
Narración:
-
Historia
AI will be the defining development of the 21st century. Within two decades, aspects of daily human life will be unrecognizable. AI will generate unprecedented wealth, revolutionize medicine and education through human-machine symbiosis, and create brand-new forms of communication and entertainment. In liberating us from routine work, however, AI will also challenge the organizing principles of our economic and social order.
-
-
Good concept, poor execution
- De Amazon Customer en 12-08-21
De: Kai-Fu Lee, y otros
-
Automating Inequality
- How High-Tech Tools Profile, Police, and Punish the Poor
- De: Virginia Eubanks
- Narrado por: Teri Schnaubelt
- Duración: 7 h y 47 m
- Versión completa
-
General
-
Narración:
-
Historia
Since the dawn of the digital age, decision-making in finance, politics, health, and human services has undergone revolutionary change. Today, automated systems control which neighborhoods get policed, which families attain needed resources, and who is investigated for fraud. While we all live under this new regime of data, the most invasive and punitive systems are aimed at the poor. In Automating Inequality, Virginia Eubanks systematically investigates the impacts of data mining, policy algorithms, and predictive risk models on poor and working-class people in America.
-
-
Outstanding, Through, Well Researched Book!
- De LISA en 07-11-24
De: Virginia Eubanks
-
How We Learn
- Why Brains Learn Better Than Any Machine...for Now
- De: Stanislas Dehaene
- Narrado por: Kaleo Griffith
- Duración: 10 h
- Versión completa
-
General
-
Narración:
-
Historia
The human brain is an extraordinary machine. Its ability to process information and adapt to circumstances by reprogramming itself is unparalleled and it remains the best source of inspiration for recent developments in artificial intelligence. In How We Learn, Stanislas Dehaene decodes the brain's biological mechanisms, delving into the neuronal, synaptic, and molecular processes taking place. He explains why youth is such a sensitive period, but assures us that our abilities continue into adulthood and that we can enhance our learning and memory at any age.
-
-
Too pedantic, too didactic
- De RickyF en 12-05-21
Lo que los oyentes dicen sobre The Ethical Algorithm
Calificaciones medias de los clientesReseñas - Selecciona las pestañas a continuación para cambiar el origen de las reseñas.
-
Total
-
Ejecución
-
Historia
- Matthew Sowders
- 10-08-23
Great read!!!
This was an interesting view into the problems involved mixing algorithms with general decision making in many contexts.
Se ha producido un error. Vuelve a intentarlo dentro de unos minutos.
Has calificado esta reseña.
Reportaste esta reseña
-
Total
-
Ejecución
-
Historia
- Amazon Customer
- 11-08-23
very relevant and important, especially with all the developments today
As a field, AI is moving extremely fast - so it is fair to say that this is an ‘old book’ for this field. Yet every single topic addressed in it is so very important, critical and still unresolved. The authors are very good in explaining the issues and making them accessible for people from all kinds of backgrounds. It must be a mandatory read for all technical disciplines, and especially in computer science programs.
Se ha producido un error. Vuelve a intentarlo dentro de unos minutos.
Has calificado esta reseña.
Reportaste esta reseña
-
Total
-
Ejecución
-
Historia
- Jim Flowers
- 09-17-21
why the gold standard may not be golden.
excellent down to earth analysis of the fundamentals of algorithms, statistics, and the difficulty of modeling behaviors accurately, reliably, and ethically.
Se ha producido un error. Vuelve a intentarlo dentro de unos minutos.
Has calificado esta reseña.
Reportaste esta reseña