The AI Con: How to Fight Big Tech's Hype and Create the Future We Want - Exposing Surveillance Capitalism and Artificial Intelligence Myths in Information Technology Today

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.

This guide gives you the tools to see past the headlines and understand the real stakes:

• Corporate Influence: How the narrative around “intelligent” machines is crafted to serve corporate profit motives, not the public good.
• Digital Ethics: A clear-eyed examination of how AI systems are built on data extraction and surveillance—and who bears the real cost of that model.
• Media Literacy for the AI Age: A practical toolkit for recognizing hype in the wild—in headlines, at work, and in the products marketed to you every day.
• A Call for Accountability: Why citizens, workers, and policymakers all have a role to play in ensuring AI serves people rather than replacing them.

Dr. Emily M. Bender is a Professor of Linguistics at the University of Washington where she is also the Faculty Director of the Computational Linguistics Master of Science program and affiliate faculty in the School of Computer Science and Engineering and the Information School. In 2023, she was included in the inaugural Time 100 list of the most influential people in AI. She is frequently consulted by policymakers, from municipal officials to the federal government to the United Nations, for insight into how to understand so-called AI technologies.

Dr. Alex Hanna is Director of Research at the Distributed AI Research Institute (DAIR) and a Lecturer in the School of Information at the University of California Berkeley. She is an outspoken critic of the tech industry, a proponent of community-based uses of technology, and a highly sought-after speaker and expert who has been featured across the media, including articles in the Washington Post, Financial Times, The Atlantic, and Time.