Event invitation: Taming Silicon Valley by Gary Marcus

Taming Silicon Valley: How We Can Ensure That AI Works for Us

On balance, will AI help humanity or harm it? AI could revolutionize science, medicine, and technology, and deliver us a world of abundance and better health. Or it could be a disaster, leading to the downfall of democracy, or even our extinction. In Taming Silicon Valley, Gary Marcus, one of the most trusted voices in AI, explains that we still have a choice. And that the decisions we make now about AI will shape our next century. In this short but powerful manifesto, Marcus explains how Big Tech is taking advantage of us, how AI could make things much worse, and, most importantly, what we can do to safeguard our democracy, our society, and our future.

Marcus explains the potential—and potential risks—of AI in the clearest possible terms and how Big Tech has effectively captured policymakers. He begins by laying out what is lacking in current AI, what the greatest risks of AI are, and how Big Tech has been playing both the public and the government, before digging into why the US government has thus far been ineffective at reining in Big Tech. He then offers real tools for readers, including eight suggestions for what a coherent AI policy should look like—from data rights to layered AI oversight to meaningful tax reform—and closes with how ordinary citizens can push for what is so desperately needed.

Gary Marcus is an Emeritus Professor of Psychology and Neural Science at NYU, and a leading voice in artificial intelligence. He is well-known for his challenges to contemporary AI, anticipating many of the current limitations decades in advance, and for his research in human language development and cognitive neuroscience. He is the author of Taming Silicon Valley, The Algebraic Mind, Kluge, The Birth of the Mind, Rebooting AI (with Ernest Davis), and the New York Times Bestseller Guitar Zero. He is the founder of Robust.AI and Geometric.AI.

Time: November 19, 2024, 5:00-6:30 p.m.

Place: Seattle University campus

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