AI Ethics Audiobook By Mark Coeckelbergh cover art

AI Ethics

MIT Press Essential Knowledge Series

 Preview

$0.00 for first 30 days

Try for $0.00
Access a growing selection of included Audible Originals, audiobooks, and podcasts.
You will get an email reminder before your trial ends.
Audible Plus auto-renews for $7.95/mo after 30 days. Upgrade or cancel anytime.

AI Ethics

By: Mark Coeckelbergh
Narrated by: Liam Gerrard
Try for $0.00

$7.95 a month after 30 days. Cancel anytime.

Buy for $17.19

Buy for $17.19

Confirm purchase
Pay using card ending in
Switch payment method
By confirming your purchase, you agree to Audible's Conditions of Use, License, and Amazon's Privacy Notice. Taxes where applicable.
Cancel

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.

Mark Coeckelbergh describes influential AI narratives, ranging from Frankenstein's monster to transhumanism and the technological singularity. He surveys relevant philosophical discussions: questions about the fundamental differences between humans and machines and debates over the moral status of AI. He explains the technology of AI, describing different approaches and focusing on machine learning and data science. He offers an overview of important ethical issues, including privacy concerns, responsibility and the delegation of decision making, transparency, and bias as it arises at all stages of data science processes. He also considers the future of work in an AI economy. Finally, he analyzes a range of policy proposals and discusses challenges for policymakers.

©2020 The Massachusetts Institute of Technology (P)2020 Gildan Media Computer Science Ethics & Morality History & Culture History & Philosophy Philosophy Science Technology & Society Technology Machine Learning Data Science Artificial Intelligence Morality Artificial Intelligence Ethics
Comprehensive Overview • Philosophical Connections • Practical Applications • Great Introduction • Ethical Considerations
Highly rated for:
All stars
Most relevant  
AI Ethics contains a ton of great information, but it's too dense for an audio book. From a content standpoint, it cover lots of important ground from the beginning of computers to the modern era. The book explores the thoughts of famous figures ranging from Alan Turing and Ray Kurzweil to Stephen Hawking and Elon Musk. The narration is decent, but it would've been nice if there had been more inflection and performance rather than just reading the text at a steady pace with energy.

Too Dense for an Audio Book

Something went wrong. Please try again in a few minutes.
I have read maybe a half dozen books in this general area. This one stands out for nimbly tying AI issues to the best ideas of ethics and philosophy. It is head and shoulders above others I've seen in sorting out and laying out this particular aspect of AI. It does not offer simple answers but shows us the complexity of issues we are coming up against, that cannot be dodged. This interfaces very well with the AI law books I have read.

A really great survey: wide, bright, listenable

Something went wrong. Please try again in a few minutes.
Good compendium of the state of the art circa 2018; unfortunately it does not catch the latest wave of IA that may have changed some of the author views. Still a great introduction to the matter.

Great panoramic view

Something went wrong. Please try again in a few minutes.
This book is great at describing the ethical considerations required for AI development. However you will need some background in philosophy for this book. The first chapter is a summary of the philosophical paradigms through which AI can be viewed. It was hard to get through. The rest of the book is great and has some practical applications, but it all builds in the first chapter. I have already recommended this book to others, but with the disclaimer it can start out a little dry.

Great book, not for beginners.

Something went wrong. Please try again in a few minutes.
An introduction to those who have no idea of what ethics has to do with AI. Dry. Difficult to keep attune to the reader. Concepts not explained very well.

Most Basic Introduction to Concept Only

Something went wrong. Please try again in a few minutes.
Most AI books cover the same topics and central themes. This book does it better in 2022.

Start your AI ethics journey here.

Something went wrong. Please try again in a few minutes.
This book explains why our silly country fears artificial intelligence (hint-idiots and fear mongers make a ton of loot from the willfully ignorant). I hope that as more information comes out that these tired,rich, and impotent purveyors of fear crawl back into the holes they crawled out of. The world, ai, and our world will be better when they are gone. I think ai is amazingly useful now and will only get better if people stop being willing bigots.

A great ai primer

Something went wrong. Please try again in a few minutes.
One of the most complete and well explained books I’ve read (or listened to haha) on the topic. It provides a great overview of all the topics relating to Ethics of AI, so it’s good for both beginners and people with some experience on the topic who wish to be exposed to new ideas.

Great Introductory Book

Something went wrong. Please try again in a few minutes.
I liked the breadth of AI ethics topics were covered in this title and how accessible that author makes these thorny and theoretical topics.

Great primer for AI Ethics

Something went wrong. Please try again in a few minutes.
Even making allowance for the fact that this book predates the LLM revolution, it is remarkable how shallow the observations of this book are. I would expect more insight even from a book generated by an LLM. For example, there are deep technical questions about what classification "bias" really means, but these are not even hinted at. The only actual content of any value is the prediction that strong AI is decades away (which of course turns out to be wrong). Frankly, this book is useless.

Disappointingly shallow content

Something went wrong. Please try again in a few minutes.
See more reviews