{"product_id":"atlas-of-ai-kate-crawford-9780300264630","title":"Atlas of AI | Kate Crawford","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;\"\u003eAtlas of AI: Power, Politics, and the Planetary Costs of Artificial Intelligence\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;\"\u003eWhat happens when artificial intelligence saturates political life and depletes the planet? How is AI shaping our understanding of ourselves and our societies? Drawing on more than a decade of research, award-winning scholar Kate Crawford reveals how AI is a technology of extraction: from the minerals drawn from the earth to the labor pulled from low-wage information workers to the data taken from every action and expression.\u003c\/p\u003e\n  \u003cp style=\"margin-bottom: 15px;\"\u003eCrawford reveals how this planetary network is fueling a shift toward undemocratic governance and increased inequity. Rather than taking a narrow focus on code and algorithms, Crawford offers us a material and political perspective on what it takes to make AI and how it centralizes power. This is an urgent account of what is at stake as technology companies use artificial intelligence to reshape the world.\u003c\/p\u003e\n\n  \u003ch3 style=\"color: #2c3e50; font-size: 1.25em; margin-top: 20px; margin-bottom: 10px;\"\u003eAuthor Biography\u003c\/h3\u003e\n  \u003cp style=\"margin-bottom: 15px;\"\u003e\u003cstrong\u003eKate Crawford\u003c\/strong\u003e is an Australian academic and award-winning scholar whose research focuses on the development, labor, and impact of artificial intelligence. Through a deep exploration of the intersection between technology, sociology, and political economy, Crawford sheds light on the material and human costs of modern technological advancement.\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;\"\u003eAcademics, researchers, and students in Technology Studies, Critical Theory, and Sociology.\u003c\/li\u003e\n    \u003cli style=\"margin-bottom: 5px;\"\u003eProfessionals involved in Public Policy, Data Privacy, and Technology Ethics.\u003c\/li\u003e\n    \u003cli style=\"margin-bottom: 5px;\"\u003eReaders seeking a material, resource-based perspective on computational infrastructure.\u003c\/li\u003e\n    \u003cli style=\"margin-bottom: 5px;\"\u003eAdvocates for democratic governance and corporate technological accountability.\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; Critical Acclaim\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\"This study argues that [artificial intelligence] is neither artificial nor particularly intelligent... A fascinating history of the data on which machine-learning systems are trained.\"\u003c\/em\u003e \u003cstrong\u003e—The New Yorker\u003c\/strong\u003e\n\u003c\/li\u003e\n    \u003cli style=\"margin-bottom: 10px;\"\u003e\n\u003cem\u003e\"A valuable corrective to much of the hype surrounding AI and a useful instruction manual for the future.\"\u003c\/em\u003e \u003cstrong\u003e—John Thornhill, Financial Times\u003c\/strong\u003e\n\u003c\/li\u003e\n    \u003cli style=\"margin-bottom: 10px;\"\u003e\n\u003cem\u003e\"It's a masterpiece, and I haven't been able to stop thinking about it.\"\u003c\/em\u003e \u003cstrong\u003e—Karen Hao, senior editor, MIT Tech Review\u003c\/strong\u003e\n\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;\"\u003eYale University Press (Imprint: Yale University Press)\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;\"\u003eAugust 16, 2022 (Reprint Trade Paperback Edition)\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 Yale University Press Trade Paperback Edition \/ First Printing Thus\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;\"\u003eTrade Paperback (Perfect bound with premium softcover cardstock wrap and smooth matte finish)\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;\"\u003e9780300264630 \/ 0300264631\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;\"\u003e336 (Includes investigative chapter essays, archival citation indices, and field-research tracking)\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 conceptual data maps, historical operational timelines, and architectural tech infrastructure diagrams)\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;\"\u003e8.43 x 5.56 x 0.97 inches | 12.6 oz (358 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\u003eSOCIAL SCIENCE \/ Technology Studies\u003cbr\u003ePOLITICAL SCIENCE \/ Public Policy \/ Science \u0026amp; Technology Policy\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 \/ LC Classification\u003c\/th\u003e\n        \u003ctd style=\"padding: 10px; color: #1a1a1a;\"\u003e2020942065 \/ Q335 .C73 2022\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;\"\u003e006.301\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 the book mean by AI being a \"technology of extraction\"?\u003c\/strong\u003e\u003cbr\u003eKate Crawford argues that AI systems do not exist in a vacuum of pure code. Instead, they rely heavily on physical, material extraction: mining rare earth minerals from the planet, utilizing low-wage human labor to tag and sort data, and scraping massive amounts of personal expressions and actions without explicit consent.\u003c\/p\u003e\n  \u003cp style=\"margin-bottom: 15px;\"\u003e\u003cstrong\u003eIs this book highly technical or code-focused?\u003c\/strong\u003e\u003cbr\u003eNo, this treatise takes a tech-sociology and political economy approach. Rather than evaluating algorithms, it examines the political, material, social, and economic structures required to create and maintain global AI systems.\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\/atlas-of-ai-kate-crawford-9780300264630#book\",\n        \"name\": \"Atlas of AI: Power, Politics, and the Planetary Costs of Artificial Intelligence\",\n        \"author\": {\n          \"@type\": \"Person\",\n          \"name\": \"Kate Crawford\",\n          \"jobTitle\": \"Author\",\n          \"sameAs\": \"https:\/\/www.wikidata.org\/wiki\/Q6375450\"\n        },\n        \"isbn\": \"9780300264630\",\n        \"sku\": \"9780300264630\",\n        \"mpn\": \"0300264631\",\n        \"numberOfPages\": \"336\",\n        \"publisher\": {\n          \"@type\": \"Organization\",\n          \"name\": \"Yale University Press\"\n        },\n        \"datePublished\": \"2022-08-16\",\n        \"bookFormat\": \"https:\/\/schema.org\/Paperback\",\n        \"inLanguage\": \"English\",\n        \"description\": \"Discover the hidden planetary costs of artificial intelligence, from natural resources to human labor, in Kate Crawford's urgent tech-sociology treatise.\",\n        \"educationalLevel\": \"College\/Academic\",\n        \"audience\": {\n          \"@type\": \"EducationalAudience\",\n          \"educationalRole\": \"Academic \/ Professional \/ General Reader\"\n        },\n        \"offers\": {\n          \"@type\": \"Offer\",\n          \"price\": \"17.99\",\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\": \"Technology Studies\" },\n          { \"@type\": \"Thing\", \"name\": \"Public Policy\" }\n        ]\n      },\n      {\n        \"@type\": \"FAQPage\",\n        \"@id\": \"https:\/\/bustdownbooks.com\/products\/atlas-of-ai-kate-crawford-9780300264630#faq\",\n        \"mainEntity\": [\n          {\n            \"@type\": \"Question\",\n            \"name\": \"What does the book mean by AI being a 'technology of extraction'?\",\n            \"acceptedAnswer\": {\n              \"@type\": \"Answer\",\n              \"text\": \"Kate Crawford argues that AI systems do not exist in a vacuum of pure code. 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