Rebooting AI | Gary Marcus & Ernest Davis

Rebooting AI: Building Artificial Intelligence We Can Trust

Extended Synopsis

Despite the intense hype surrounding artificial intelligence, creating a machine that genuinely rivals or exceeds human intelligence is far more complicated than popular narratives suggest. In Rebooting AI, professors Gary Marcus and Ernest Davis—two leading voices at the absolute forefront of cognitive science and AI research—deliver a lucid, clear-eyed assessment of the current state of the art and reveal the structural steps we must take to achieve a truly robust, trustworthy artificial intelligence.

The authors argue that milestone achievements like defeating grandmasters in closed games or winning at Jeopardy! do not mean we are on the verge of safe, fully autonomous cars or universal superintelligence. Present-day successes occur within narrow, closed systems governed by fixed rules. The real world, by contrast, is open-ended and wildly complex. To bridge this critical gap, Marcus and Davis suggest taking inspiration from the human mind. They explain that instead of focusing solely on statistical analysis and gathering ever-larger collections of data, the field must endow machines with common sense, deep understanding, and cognitive frameworks. Only then can we build systems we can safely trust in our homes, our workflows, and our doctors' offices.

Author Biographies

Gary Marcus is a scientist, entrepreneur, and professor emeritus of psychology and neural science at New York University. He is a well-known researcher in cognitive psychology, language, and AI development, and the author of several acclaimed books on human and machine intelligence.

Ernest Davis is a professor of computer science at the Courant Institute of Mathematical Sciences, New York University. He is one of the world's leading experts in automated commonsense reasoning, exploring how to represent foundational physical and spatial concepts within computational architecture.

Reader Targeting

• AI practitioners, software engineers, and computer scientists looking for a critical perspective on deep learning limitations.
• Business leaders, tech policy experts, and investors evaluating long-term safety, risks, and trends in autonomous technology.
• Cognitive scientists, philosophers, and students studying the intersection of human psychology and neural architecture.
• General tech enthusiasts searching for a grounded, realistic guide to cut through tech-industry hype.

Accolades & Praise

• “Finally, a book that tells us what AI is, what AI is not, and what AI could become if only we are ambitious and creative enough.” — Garry Kasparov, former world chess champion and author of Deep Thinking
• Highly praised across academic and corporate technology sectors as an essential, foundational treatise on modern AI risk management.

Bibliographic & Physical Specifications

Frequently Asked Questions

What does it mean to "reboot" artificial intelligence?
The authors suggest that the current singular focus on big data, statistical patterns, and deep learning neural networks has reached diminishing returns for creating true, reliable intelligence. "Rebooting" means incorporating insights from cognitive science, human psychology, and rules-based logic to give machines actual common sense and functional context.

Is this book anti-AI?
No, it is highly optimistic about what AI *could* become. Instead of validating dystopian sci-fi tropes, the authors point out the immediate, everyday dangers of trusting brittle, narrow software patterns with high-stakes tasks like medicine, driving, and security before they possess true comprehension.

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