The AI Con
How to Fight Big Tech's Hype and Create the Future We Want
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4.8 • 4 Ratings
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- $14.99
Publisher Description
A smart, incisive look at the technologies sold as artificial intelligence, the drawbacks and pitfalls of technology sold under this banner, and why it’s crucial to recognize the many ways in which AI hype covers for a small set of power-hungry actors at work and in the world.
Is artificial intelligence going to take over the world? Have big tech scientists created an artificial lifeform that can think on its own? Is it going to put authors, artists, and others out of business? Are we about to enter an age where computers are better than humans at everything?
The answer to these questions, linguist Emily M. Bender and sociologist Alex Hanna make clear, is “no,” “they wish,” “LOL,” and “definitely not.” This kind of thinking is a symptom of a phenomenon known as “AI hype.” Hype looks and smells fishy: It twists words and helps the rich get richer by justifying data theft, motivating surveillance capitalism, and devaluing human creativity in order to replace meaningful work with jobs that treat people like machines. In The AI Con, Bender and Hanna offer a sharp, witty, and wide-ranging take-down of AI hype across its many forms.
Bender and Hanna show you how to spot AI hype, how to deconstruct it, and how to expose the power grabs it aims to hide. Armed with these tools, you will be prepared to push back against AI hype at work, as a consumer in the marketplace, as a skeptical newsreader, and as a citizen holding policymakers to account. Together, Bender and Hanna expose AI hype for what it is: a mask for Big Tech’s drive for profit, with little concern for who it affects.
PUBLISHERS WEEKLY
"The AI project has always been more fantasy than reality," according to this scathing takedown. Bender (Linguistic Fundamentals for Natural Language Processing), a linguistics professor at the University of Washington, and Hanna, research director at the Distributed AI Research Institute, argue that AI is often less capable than its promoters let on, pointing out that "driverless" robotaxis, for example, usually require the assistance of remote drivers. That hasn't stopped corporations from using AI to undermine human workers, the authors contend, discussing how the Writer's Guild of America went on strike in 2023 to protest film studios' plans to pay screenwriters a lower rate for "rewriting" AI scripts even when the changes were so extensive that the scripts were effectively new. The authors are as skeptical of "AI doomers" as they are of "AI boosters," positing that while large language models are incapable of harboring any intent to wage war on humanity, the real threat lies in how they're cheapening the quality of human labor, normalizing data theft, and subjecting individuals to ever more sophisticated surveillance. Though the narrative sometimes risks devolving into an undigested series of anecdotes about AI's ills, the authors nonetheless drive home the troubling ways in which the technology is transforming society. AI skeptics will find plenty of fodder for their critiques.
