Ask HN: Best Books about AI

#1

Post by mishkovski » Sun, Dec 04, 2022, 6:36 PM UTC

What are the best books about practical AI? What are the best books for people in AI leadership positions?

Re: Ask HN: Best Books about AI

#2

Post by frontman1988 » Sun, Dec 04, 2022, 7:09 PM UTC

No post body was provided.

Re: Ask HN: Best Books about AI

#3

Post by warkanlock » Sun, Dec 04, 2022, 8:10 PM UTC

frontman1988 wrote: post #2

Quoted post unavailable.

I believe this response was produced using chatGTP. These books don't even exist

Re: Ask HN: Best Books about AI

#4

Post by chrisa » Sun, Dec 04, 2022, 8:28 PM UTC

"Real World AI" by Alyssa Simpson Rochwerger and Wilson Pang is the best book I've read on AI for people in leadership positions - it gets just enough in the weeds to really explain what's going on while still staying high level enough to address things that managers/executives would want to know. It also has several real world case studies that show both the promise and the risk of AI

Re: Ask HN: Best Books about AI

#5

Post by spidersouris » Sun, Dec 04, 2022, 8:30 PM UTC

warkanlock wrote: post #3

frontman1988 wrote: post #2

Quoted post unavailable.

I believe this response was produced using chatGTP. These books don't even exist

I think I'm getting quite good at detecting them now. I just had to read the first five words to immediately see that something was wrong. Was fun at first reading this kind of comment but it's becoming bothersome.

Re: Ask HN: Best Books about AI

#6

Post by stevofolife » Mon, Dec 05, 2022, 12:19 AM UTC

warkanlock wrote: post #3

frontman1988 wrote: post #2

Quoted post unavailable.

I believe this response was produced using chatGTP. These books don't even exist

We need John to write more books about AI

Re: Ask HN: Best Books about AI

#7

Post by menshiki » Mon, Dec 05, 2022, 7:00 AM UTC

I have personally enjoyed the "AI for Everything" series published by Routledge.

Re: Ask HN: Best Books about AI

#8

Post by hungrigekatze » Mon, Dec 05, 2022, 10:48 PM UTC

It's not a book but I really like the Elements of AI two-part course series that the University of Helskini provided (financial) support for: the two courses in the Elements of AI series consist of a pure theory course and the second course is a hands-on / applied course. Because not everyone who is seeking to learn about AI has programming skills the second course is a 'choose your own adventure' type course, with one track involving lots of programming, one 'middle of the road' option with just a touch of coding, and the other track not involving any programming whatsoever (suitable for executives, IMO).

https://www.elementsofai.com/

I've recommended this course (just the first one if you're a time-constrained executive) to C-suite colleagues in the past who wanted to become more informed about ML, DL and AI, but who didn't want a deeply technical explanation a la Andrew Ng's Coursera courses or similar content.

The Elements of AI courses touch upon the statistical underpinnings of the space (there's a unit on Bayes' Theorem), the societal implications of automated decision-making process (job creation, etc.), what tasks are "doable with AI today" and which tasks are definitely _not_ doable with A(G)I, etc.

Helping non-technical folks develop an intuition about what is possible with "AI" is crucial, I think, to having a workplace and a society that can talk realistically about the benefits and detriments of robotic data processing such as ML, DL, AI.