![]() The purpose of AI is to learn a set of good assumptions about existing data, so that we can make predictions about future data. It’s all really about probability and statistics. Networks learn the parameters of a probability distribution from these data samples. ![]() This is an important current danger that the author is signaling. If we give it biased data sets, the result will obviously be biased. Which opens the page for the primordial question of bias: how do we feed the algorithm with unbiased data? With data sets large enough (unfortunately, the larger the data set, the more expensive the process) to be really representative of a situation applying to all. In fact a lot of AI current functioning relies on data sets we feed it. He gives us many details on the various models and use cases, and current AI architecture.ĭid you know we were already using AI technology back in the 1950s for instance to eliminate noise from phone lines?Īn important part of the book is dedicated to showing us the importance of training the algorithm and how it can learn from data sets (for instance how it can learn to recognize handwritten digits of zipcode on US mail envelops, for automatic sorting). The author explains a lot about Artificial Neural Networks, “by far the most popular and successful AI algorithms in use today.” (Introduction) AI took its first steps in the 19th century, and a first model of artificial neuron was already at work in 1943. I actually didn’t know that it all started with researchers trying to build an artificial brain to better understand ours. Wenger starts by exploring the historical development of AI. ![]() The main propose of the book is to explain how AI works, in order to allow us to evaluate and gauge our response from an informed place. My goal is to show you how important this book is, and to invite you to read it as well, as I can only offer you a glimpse of it. My (much longer than usual) review will contain many quotations and paraphrases of the book, while avoiding too many technical aspects. I found it in Is the Algorithm Plotting Against Us? A Layperson’s Guide to the Concepts, Math, and Pitfalls of AI. I like to remain informed about new technology, and I wanted a good tool to evaluate AI. So this was wonderful reading this nonfiction at the same time. Only when I was deeper into them did I realize Marie Lu’s books, Warcross and Wildcard, actually contained an important conversation on AI. Personally, I was just in the process of (finally) listening to two popular science-fiction novels for YA. Kenneth Wenger’s book is being published at the perfect time, when the discussions on AI are getting more widespread, as well as all kinds of crazy theories about it. The book is or will soon be also available as hardcover, ebook, and audio. Paperback copy received from the publisher for review. Nonfiction/Science/Technology/Artificial Intelligence
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