Ethical Machines

Your Concise Guide to Totally Unbiased, Transparent, and Respectful AI

De: Reid Blackman

Narrado por: Stephen Bel Davies

The promise of artificial intelligence is automated decision-making at scale, but that means AI also automates risk at scale. Are you prepared for that risk?

Already, many companies have suffered real damage when their algorithms led to discriminatory, privacy-invading, and even deadly outcomes. Self-driving cars have hit pedestrians; HR algorithms have precluded women from job searches; mortgage systems have denied loans to qualified minorities. And often the companies who deployed the AI couldn't explain why the black box made the decision it did.

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. Blackman's clear and accessible writing helps make a complex and often misunderstood concept like ethics easy to grasp. Most importantly, Blackman makes ethics actionable by tackling the big three ethical risks with AI-bias, explainability, and privacy—and tells you what to do (and what not to do) to mitigate them.

©2022 Reid Blackman (P)2022 Ascent Audio

Superb!

The book is a lesson in philosophy without you ever realzing that It's a lesson!

Reads like a philosophy book, lays everything out clearly and precisely

Blackman leaves no stone unturned when giving his arguments. He explains from bottom to top how to integrate and ethical risk mitigation program in an organization, here in the context of AI ethics. Great read for anyone serious about organizational ethics or tech ethics.

A book about mistakes

While the topic was fairly well conceived, the treatment really felt like it was just assembled from a long history of negative case studies. There are definitely some gems in here, but the tendency to go to a presentation style focusing on list (“here are my X things to say about that,” becomes pedantic. There are few concrete definitions of first principles, instead opting for, “i can’t really define it, but I know it when i see it.” May be good for cautious people mangers, but not good for policy makers or technical folks.