Doing AI

A Business-Centric Examination of AI Culture, Goals, and Values

De: Richard Heimann

Narrado por: Derek Shoales

When businesses try to "do AI", they place an abstract solution before problems and customers without fully considering whether it is wise, whether the hype is true, or how AI will impact their organization in the long term. Often absent is sound reasoning for why they should go down this path in the first place.

Doing AI explores AI for what it actually is - and what it is not - and the problems it can truly solve. Author Richard Heimann unravels the tricky relationship between problems and high-tech solutions, exploring the pitfalls in solution-centric thinking and explaining how businesses should rethink AI in a way that aligns with their cultures, goals, and values.

As the chief AI officer at Cybraics Inc., Richard Heimann knows from experience that AI-specific strategies are often bad for business. Doing AI is his comprehensive guide that will help listeners understand AI, avoid common pitfalls, and identify beneficial applications for their companies.

This book is a must-listen for anyone looking for clarity and practical guidance for identifying problems and effectively solving them, rather than getting sidetracked by a shiny new "solution" that doesn't solve anything.

©2021 Richard Heimann (P)2021 Ascent Audio

The first half is fantastic

I highly recommend the first half of the book. The second half is good but very repetitive.

Brandolini's Law in action

This book is really well done. The introduction breaks apart the various things we might mean when we say AI and how the subfields have developed over time. Then it moves into how to avoid over-complicating our solutions by trying to unnecessarily introduce AI.

I listened to the book, but I want to go back and read a print copy so I can underline passages and highlight key questions and considerations like why do we use human performance as the benchmark for AI? Which human? The best, average?

I wish all the executives with magical thinking around AI would read this book and a few others before the stake their companies future and millions of jobs on buzzword projects, but the anthropomorphized vision of computers remains the dominate narrative.