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How to Train Your Evil Robot
Not yet published
Expected 1 Sep 26A hilarious and thought-provoking picture book that uses a tiny would-be villain to explore the promise and pitfalls of artificial intelligence, blending comic book-style fun with big questions about technology, empathy, and what it means to be human.
Part laugh-out-loud picture book, part AI primer, HOW TO TRAIN YOUR EVIL ROBOT introduces a palm-sized bot with very big plans. When a maker-minded kid and their dog Jellybean test his boasts, readers get a fast, funny tour of artificial intelligence in daily life—recommendation engines and smart maps, hospital diagnostics and traffic systems—alongside kid-friendly talk about imagination, emotion, context, and (oops) fun. The story also invites critical thinking about real-world tradeoffs, from job changes to the electricity and water powering data centers. Dynamic, comics-style spreads, speech bubbles, and on-screen "protocols" make complex ideas approachable; back matter sparks discussion and responsible tech habits. This timely title helps families and educators guide kids toward using AI wisely—focusing people and machines on what each does best.
Part laugh-out-loud picture book, part AI primer, HOW TO TRAIN YOUR EVIL ROBOT introduces a palm-sized bot with very big plans. When a maker-minded kid and their dog Jellybean test his boasts, readers get a fast, funny tour of artificial intelligence in daily life—recommendation engines and smart maps, hospital diagnostics and traffic systems—alongside kid-friendly talk about imagination, emotion, context, and (oops) fun. The story also invites critical thinking about real-world tradeoffs, from job changes to the electricity and water powering data centers. Dynamic, comics-style spreads, speech bubbles, and on-screen "protocols" make complex ideas approachable; back matter sparks discussion and responsible tech habits. This timely title helps families and educators guide kids toward using AI wisely—focusing people and machines on what each does best.
Kindle Edition
Expected publication September 1, 2026
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