AI for the Rest of Us

by Phaedra Boinodiris, Beth Rudden

AI is a way for us to understand and grasp knowledge, information and put data into context. It is being used globally to make all kinds of decisions that directly impact our lives and yet most understand very little about it. We start with the definition that data is an artifact of human experience. We need the widest variance of humans, irrespective of your role and skillset, developing AI so that everyone's story is a part of the models we are building. Ergo, this book is for you! The reader will explore a conceptual model for data and understand what humans are good at and what machines are good at. The book dives into why accountability, fairness, transparency, explainability, kindness, robustness, and data privacy are essential concepts in AI that are not being taught nor insisted upon. Earning trust in AI is not a technical challenge, but socio-technical! By the end of this book, the reader will be able to detail power structures with respect to AI and understand the changing roles and responsibilities in the AI field. They will also be able to advocate for the culture required to curate AI responsibly and what it means to be a good "parent" to AI. This book is an essential read for anyone interested in understanding AI and the responsibility that comes with developing and using it.

153 pages, Kindle Edition

Published May 19, 2023

Reviews

[Rod Naquin · Rating 2 out of 5]

I didn’t like this book. It reads kinda dubious and confused. It could use an AI editor. It’s so abstract it’s kinda meaningless, it’s full of QR codes—look, I appreciate references, but this is a mess. And it pretends to be adaptive and humane while thoroughgoing being technocratic and inhumane. I don’t give twos

[Helen · Rating 4 out of 5]

I like this book because it has all of the concepts of AI broken down well into logical, easy to understand sections. It has built on what I already knew and adding some new concepts. I would recommend reading this to get a good, solid overview of the topic.