Evil Robots, Killer Computers, and Other Myths by Steven Shwartz - 4 stars

[Joy D]

Evil Robots, Killer Computers, and Other Myths: The Truth About AI and the Future of Humanity by Steven Shwartz - 4* - My Review

This book offers pragmatic analysis of artificial intelligence. The author’s intent is to cut through the hype and fear that often dominate public discourse. Shwartz dismantles popular misconceptions about AI taking over the world or achieving human-like consciousness in the near-future. He explains that while current AI systems can be remarkably effective at specific tasks, which he calls “narrow AI,” they fundamentally lack the kind of general intelligence, common sense reasoning, and genuine understanding that humans possess.

Shwartz breaks down complex technical concepts into accessible explanations, helping readers understand what modern AI can and cannot do. He uses clear examples and analogies to illustrate how technologies like machine learning and neural networks function. His discussion of supervised learning and pattern recognition helps readers understand why AI systems can be simultaneously powerful within narrow domains yet profoundly limited in their ability to generalize or truly "think.” This latter capability is a primary emphasis of Artificial General Intelligence (AGI), which is rapidly evolving, but does not yet exist.

Shwartz focuses instead on current issues such as algorithmic biases, privacy concerns, and the economic impacts of automation. He is particularly interested in self-driving cars and delves deeply into its various challenges. The book concludes with practical recommendations for policymakers, business leaders, and the public on how to approach AI development responsibly. I am reading about AI with a goal of becoming more informed. This one is well worth the time and might allay a few fears, as some of the most extreme worries about AI are not yet possible. This is not to say that narrow AI cannot do damage. It certainly can (and has), as the author indicates, but it is more due to corporate irresponsibility, lack of oversight, and questionable ethics than AI itself.