Product details
- ISBN 9781394397808
- Weight: 476g
- Dimensions: 160 x 234mm
- Publication Date: 09 Mar 2026
- Publisher: John Wiley & Sons Inc
- Publication City/Country: US
- Product Form: Hardback
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A compelling story to expand the human’s perspective on the new, unprecedented world of AI
In Robot-Proof: When Machines Have All the Answers, Build Better People, Dr. Vivienne Ming, “a force in AI unlike any we have seen before” (Mark Minevich, Forbes), helps readers grasp the ugly and the amazing of how individuals, companies, and societies will respond to the changes that are already taking hold due to the advent of AI. Rather than a wonky textbook on machine learning or a utopian/dystopian (take your pick) screed, Robot-Proof is a book about people, exploring what it means to be human in an increasingly automated world.
This book presents, then answers, pressing questions that readers may or may not have thought to themselves, such as:
- What predicts long-term life outcomes across millions of little kids?
- What drives career success in both hyper-networked salespeople and hyper-nerdy programmers?
- Why is the Informational-Exploration Paradox the most terrifying phenomenon you’ve never heard of?
- What predicts the smartest team and how will AI change it?
- Why are ill-posed problems the future work, education, and a robot-proof humanity?
With poignant insight and delicate care to keep us grounded in the human perspective, Robot-Proof is an entertaining and thought-provoking read for all individuals seeking to understand the next steps in a new and completely unprecedented world.
VIVIENNE MING, PHD, is a theoretical neuroscientist, entrepreneur, and self-described “professional mad scientist” who explores maximizing human capacity through the intersection of AI, neuroscience, and human potential. She is the co-founder and Executive Chair of The Human Trust, a nonprofit building AI foundation models to tackle problems ranging from individual disabilities to global economic inclusion. Her work has been featured in the Financial Times, The Atlantic, and The New York Times.
