{"product_id":"rebooting-ai-gary-marcus-ernest-davis-9781524748258","title":"Rebooting AI | Gary Marcus \u0026 Ernest Davis","description":"\u003csection class=\"product-description\" style=\"color: #1a1a1a; font-family: 'Helvetica Neue', Helvetica, Arial, sans-serif; line-height: 1.6;\"\u003e\n  \u003ch2 style=\"color: #2c3e50; font-size: 1.75em; margin-bottom: 15px; border-bottom: 2px solid #2c3e50; padding-bottom: 5px;\"\u003eRebooting AI: Building Artificial Intelligence We Can Trust\u003c\/h2\u003e\n  \n  \u003ch3 style=\"color: #2c3e50; font-size: 1.25em; margin-top: 20px; margin-bottom: 10px;\"\u003eExtended Synopsis\u003c\/h3\u003e\n  \u003cp style=\"margin-bottom: 15px;\"\u003eDespite 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 \u003cem\u003eRebooting AI\u003c\/em\u003e, 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.\u003c\/p\u003e\n  \u003cp style=\"margin-bottom: 15px;\"\u003eThe authors argue that milestone achievements like defeating grandmasters in closed games or winning at \u003cem\u003eJeopardy!\u003c\/em\u003e 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.\u003c\/p\u003e\n\n  \u003ch3 style=\"color: #2c3e50; font-size: 1.25em; margin-top: 20px; margin-bottom: 10px;\"\u003eAuthor Biographies\u003c\/h3\u003e\n  \u003cp style=\"margin-bottom: 15px;\"\u003e\u003cstrong\u003eGary Marcus\u003c\/strong\u003e 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.\u003c\/p\u003e\n  \u003cp style=\"margin-bottom: 15px;\"\u003e\u003cstrong\u003eErnest Davis\u003c\/strong\u003e 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.\u003c\/p\u003e\n\n  \u003ch3 style=\"color: #2c3e50; font-size: 1.25em; margin-top: 20px; margin-bottom: 10px;\"\u003eReader Targeting\u003c\/h3\u003e\n  \u003cul style=\"margin-bottom: 20px; padding-left: 20px;\"\u003e\n    \u003cli style=\"margin-bottom: 5px;\"\u003eAI practitioners, software engineers, and computer scientists looking for a critical perspective on deep learning limitations.\u003c\/li\u003e\n    \u003cli style=\"margin-bottom: 5px;\"\u003eBusiness leaders, tech policy experts, and investors evaluating long-term safety, risks, and trends in autonomous technology.\u003c\/li\u003e\n    \u003cli style=\"margin-bottom: 5px;\"\u003eCognitive scientists, philosophers, and students studying the intersection of human psychology and neural architecture.\u003c\/li\u003e\n    \u003cli style=\"margin-bottom: 5px;\"\u003eGeneral tech enthusiasts searching for a grounded, realistic guide to cut through tech-industry hype.\u003c\/li\u003e\n  \u003c\/ul\u003e\n\n  \u003ch3 style=\"color: #2c3e50; font-size: 1.25em; margin-top: 20px; margin-bottom: 10px;\"\u003eAccolades \u0026amp; Praise\u003c\/h3\u003e\n  \u003cul style=\"margin-bottom: 20px; padding-left: 20px; list-style-type: none;\"\u003e\n    \u003cli style=\"margin-bottom: 10px;\"\u003e\n\u003cem\u003e“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.”\u003c\/em\u003e — Garry Kasparov, former world chess champion and author of Deep Thinking\u003c\/li\u003e\n    \u003cli style=\"margin-bottom: 10px;\"\u003e\u003cem\u003eHighly praised across academic and corporate technology sectors as an essential, foundational treatise on modern AI risk management.\u003c\/em\u003e\u003c\/li\u003e\n  \u003c\/ul\u003e\n\n  \u003ch3 style=\"color: #2c3e50; font-size: 1.25em; margin-top: 20px; margin-bottom: 10px;\"\u003eBibliographic \u0026amp; Physical Specifications\u003c\/h3\u003e\n  \u003ctable style=\"width: 100%; border-collapse: collapse; margin-bottom: 25px; font-size: 0.95em; border: 1px solid #e0e0e0;\"\u003e\n    \u003ctbody\u003e\n      \u003ctr style=\"border-bottom: 1px solid #e0e0e0;\"\u003e\n        \u003cth style=\"text-align: left; padding: 10px; background-color: #f8f9fa; color: #2c3e50; width: 40%;\"\u003ePublisher\u003c\/th\u003e\n        \u003ctd style=\"padding: 10px; color: #1a1a1a;\"\u003ePantheon Books (An Imprint of Knopf Doubleday Publishing Group \/ Penguin Random House LLC)\u003c\/td\u003e\n      \u003c\/tr\u003e\n      \u003ctr style=\"border-bottom: 1px solid #e0e0e0;\"\u003e\n        \u003cth style=\"text-align: left; padding: 10px; background-color: #f8f9fa; color: #2c3e50;\"\u003ePublication Date\u003c\/th\u003e\n        \u003ctd style=\"padding: 10px; color: #1a1a1a;\"\u003eSeptember 10, 2019\u003c\/td\u003e\n      \u003c\/tr\u003e\n      \u003ctr style=\"border-bottom: 1px solid #e0e0e0;\"\u003e\n        \u003cth style=\"text-align: left; padding: 10px; background-color: #f8f9fa; color: #2c3e50;\"\u003eEdition Details\u003c\/th\u003e\n        \u003ctd style=\"padding: 10px; color: #1a1a1a;\"\u003eFirst US Edition \/ First Printing (Stated)\u003c\/td\u003e\n      \u003c\/tr\u003e\n      \u003ctr style=\"border-bottom: 1px solid #e0e0e0;\"\u003e\n        \u003cth style=\"text-align: left; padding: 10px; background-color: #f8f9fa; color: #2c3e50;\"\u003eFormat \u0026amp; Binding\u003c\/th\u003e\n        \u003ctd style=\"padding: 10px; color: #1a1a1a;\"\u003eHardcover (Two-tone paperboards over rigid binder board with a premium fine cloth spine layout and crisp stamped metallic typography)\u003c\/td\u003e\n      \u003c\/tr\u003e\n      \u003ctr style=\"border-bottom: 1px solid #e0e0e0;\"\u003e\n        \u003cth style=\"text-align: left; padding: 10px; background-color: #f8f9fa; color: #2c3e50;\"\u003eDust Jacket\u003c\/th\u003e\n        \u003ctd style=\"padding: 10px; color: #1a1a1a;\"\u003eYes\u003c\/td\u003e\n      \u003c\/tr\u003e\n      \u003ctr style=\"border-bottom: 1px solid #e0e0e0;\"\u003e\n        \u003cth style=\"text-align: left; padding: 10px; background-color: #f8f9fa; color: #2c3e50;\"\u003eISBN-13 \/ ISBN-10\u003c\/th\u003e\n        \u003ctd style=\"padding: 10px; color: #1a1a1a; font-weight: bold;\"\u003e9781524748258 \/ 1524748250\u003c\/td\u003e\n      \u003c\/tr\u003e\n      \u003ctr style=\"border-bottom: 1px solid #e0e0e0;\"\u003e\n        \u003cth style=\"text-align: left; padding: 10px; background-color: #f8f9fa; color: #2c3e50;\"\u003ePage Count\u003c\/th\u003e\n        \u003ctd style=\"padding: 10px; color: #1a1a1a;\"\u003e288 (Includes framework chapters, investigative case indices, and cognitive science references)\u003c\/td\u003e\n      \u003c\/tr\u003e\n      \u003ctr style=\"border-bottom: 1px solid #e0e0e0;\"\u003e\n        \u003cth style=\"text-align: left; padding: 10px; background-color: #f8f9fa; color: #2c3e50;\"\u003eIllustrations\u003c\/th\u003e\n        \u003ctd style=\"padding: 10px; color: #1a1a1a;\"\u003eYes (Features stylistic visual diagrams, machine learning error layouts, and logical processing charts)\u003c\/td\u003e\n      \u003c\/tr\u003e\n      \u003ctr style=\"border-bottom: 1px solid #e0e0e0;\"\u003e\n        \u003cth style=\"text-align: left; padding: 10px; background-color: #f8f9fa; color: #2c3e50;\"\u003eDimensions \u0026amp; Weight\u003c\/th\u003e\n        \u003ctd style=\"padding: 10px; color: #1a1a1a;\"\u003e9.50 x 6.40 x 1.00 inches | 20.5 oz (581 grams)\u003c\/td\u003e\n      \u003c\/tr\u003e\n      \u003ctr style=\"border-bottom: 1px solid #e0e0e0;\"\u003e\n        \u003cth style=\"text-align: left; padding: 10px; background-color: #f8f9fa; color: #2c3e50;\"\u003eBISAC Categories\u003c\/th\u003e\n        \u003ctd style=\"padding: 10px; color: #1a1a1a;\"\u003eCOMPUTERS \/ Artificial Intelligence \/ General\u003cbr\u003eTECHNOLOGY \u0026amp; ENGINEERING \/ Robotics\u003cbr\u003eBUSINESS \u0026amp; ECONOMICS \/ Industries \/ Computers \u0026amp; Information Technology\u003c\/td\u003e\n      \u003c\/tr\u003e\n      \u003ctr style=\"border-bottom: 1px solid #e0e0e0;\"\u003e\n        \u003cth style=\"text-align: left; padding: 10px; background-color: #f8f9fa; color: #2c3e50;\"\u003eBIC \/ Thema Classifications\u003c\/th\u003e\n        \u003ctd style=\"padding: 10px; color: #1a1a1a;\"\u003eUYQ (Artificial intelligence)\u003cbr\u003eUB (Information technology: general issues)\u003c\/td\u003e\n      \u003c\/tr\u003e\n      \u003ctr style=\"border-bottom: 1px solid #e0e0e0;\"\u003e\n        \u003cth style=\"text-align: left; padding: 10px; background-color: #f8f9fa; color: #2c3e50;\"\u003eLC Classification\u003c\/th\u003e\n        \u003ctd style=\"padding: 10px; color: #1a1a1a;\"\u003eQ335 .M3727 2019\u003c\/td\u003e\n      \u003c\/tr\u003e\n      \u003ctr style=\"border-bottom: 1px solid #e0e0e0;\"\u003e\n        \u003cth style=\"text-align: left; padding: 10px; background-color: #f8f9fa; color: #2c3e50;\"\u003eLCCN\u003c\/th\u003e\n        \u003ctd style=\"padding: 10px; color: #1a1a1a;\"\u003e2019-005842\u003c\/td\u003e\n      \u003c\/tr\u003e\n      \u003ctr\u003e\n        \u003cth style=\"text-align: left; padding: 10px; background-color: #f8f9fa; color: #2c3e50;\"\u003eDewey Decimal\u003c\/th\u003e\n        \u003ctd style=\"padding: 10px; color: #1a1a1a;\"\u003e006.3\u003c\/td\u003e\n      \u003c\/tr\u003e\n    \u003c\/tbody\u003e\n  \u003c\/table\u003e\n\n  \u003ch3 style=\"color: #2c3e50; font-size: 1.25em; margin-top: 20px; margin-bottom: 10px;\"\u003eFrequently Asked Questions\u003c\/h3\u003e\n  \u003cp style=\"margin-bottom: 10px;\"\u003e\u003cstrong\u003eWhat does it mean to \"reboot\" artificial intelligence?\u003c\/strong\u003e\u003cbr\u003eThe 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.\u003c\/p\u003e\n  \u003cp style=\"margin-bottom: 15px;\"\u003e\u003cstrong\u003eIs this book anti-AI?\u003c\/strong\u003e\u003cbr\u003eNo, 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.\u003c\/p\u003e\n\n  \u003cscript type=\"application\/ld+json\"\u003e\n  {\n    \"@context\": \"https:\/\/schema.org\",\n    \"@graph\": [\n      {\n        \"@type\": [\"Book\", \"Product\"],\n        \"@id\": \"https:\/\/bustdownbooks.com\/products\/rebooting-ai-gary-marcus-ernest-davis-9781524748258#book\",\n        \"name\": \"Rebooting AI: Building Artificial Intelligence We Can Trust\",\n        \"author\": [\n          {\n            \"@type\": \"Person\",\n            \"name\": \"Gary Marcus\"\n          },\n          {\n            \"@type\": \"Person\",\n            \"name\": \"Ernest Davis\"\n          }\n        ],\n        \"isbn\": \"9781524748258\",\n        \"sku\": \"9781524748258\",\n        \"mpn\": \"1524748250\",\n        \"numberOfPages\": \"288\",\n        \"publisher\": {\n          \"@type\": \"Organization\",\n          \"name\": \"Pantheon Books\"\n        },\n        \"datePublished\": \"2019-09-10\",\n        \"bookFormat\": \"https:\/\/schema.org\/Hardcover\",\n        \"inLanguage\": \"English\",\n        \"description\": \"AI experts Gary Marcus and Ernest Davis challenge current machine learning hype and outline the crucial steps needed to build truly robust, trustworthy AI.\",\n        \"educationalLevel\": \"Academic \/ Professional\",\n        \"audience\": {\n          \"@type\": \"EducationalAudience\",\n          \"educationalRole\": \"Professional \/ Academic \/ General Reader\"\n        },\n        \"offers\": {\n          \"@type\": \"Offer\",\n          \"price\": \"10.99\",\n          \"priceCurrency\": \"USD\",\n          \"availability\": \"https:\/\/schema.org\/InStock\",\n          \"priceValidUntil\": \"2027-12-31\",\n          \"seller\": {\n            \"@type\": \"Organization\",\n            \"name\": \"Bust-Down Books, LTD.\"\n          }\n        },\n        \"about\": [\n          { \"@type\": \"Thing\", \"name\": \"Artificial Intelligence\" },\n          { \"@type\": \"Thing\", \"name\": \"Robotics\" },\n          { \"@type\": \"Thing\", \"name\": \"Cognitive Science\" }\n        ]\n      },\n      {\n        \"@type\": \"FAQPage\",\n        \"@id\": \"https:\/\/bustdownbooks.com\/products\/rebooting-ai-gary-marcus-ernest-davis-9781524748258#faq\",\n        \"mainEntity\": [\n          {\n            \"@type\": \"Question\",\n            \"name\": \"What does it mean to 'reboot' artificial intelligence?\",\n            \"acceptedAnswer\": {\n              \"@type\": \"Answer\",\n              \"text\": \"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. 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