[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-40945-en":3,"doc-seo-40945-105":30,"detail-sidebar-cat-0-en-105":91},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"doc_content":15,"file_id":16,"file_url":17,"file_type":18,"file_size":19,"view_count":20,"is_deleted":4,"is_public":21,"is_downloadable":21,"audit_status":21,"page_count":22,"language":23,"language_code":24,"site_id":25,"html_lang":24,"table_of_contents":26,"faqs":27,"seo_title":13,"seo_description":14,"update_tm":28,"read_time":29},40945,13056703019662,"Evangeline","https://ap-avatar.wpscdn.com/avatar/be000253a8e92610077?_k=1778726343310543188",2,"Literature","Weapons of Math Destruction","Weapons of Math Destruction presents a critical examination of how algorithmic models and big data systems influence real people in high-stakes domains such as credit decisions and policing. The book argues that mathematical approaches can amplify inequality and undermine democratic choice when flawed data, opaque processes, and biased assumptions remain unchecked. Through analysis and illustrative cases, it highlights the risks of secretive scoring systems and calls for clearer oversight and responsible limits on algorithmic power.","Praise for  \nWEAPONS OF MATH DESTRUCTION  \nA New York Times Book Review Notable Book of 2016 A Boston Globe Best Book of 2016 One of Wired’s Required Reading Picks of 2016 One of Fortune’s Favorite Books of 2016 A Kirkus Reviews Best Book of 2016 A Chicago Public Library Best Book of 2016 A Nature.com Best Book of 2016 An On Point Best Book of 2016 New York Times Editors’Choice A Maclean’s Bestseller  \n“O’Neil’s book offers a frightening look at how algorithms are increasingly regulating people….Her knowledge of the power and risks of mathematical models, coupled with a gift for analogy, makes her one of the most valuable observers of the continuing weaponization of big data….[She] does a masterly job explaining the pervasiveness and risks ofthe algorithms that regulate our lives.”  \n—The New York Times Book Review“Weapons of Math Destruction is the Big Data story Silicon Valley proponents won’t tell….[It] pithily exposes flaws in how information is used to assess everything from creditworthiness to policing tactics….A thought-provoking read for anyone inclined to believe that data doesn’t lie.”  \n—Reuters  \n“Insightful and disturbing.”  \n—The New York Review of Books  \n“Weapons ofMath Destruction is an urgent critique of…the rampant misuse of math in nearly every aspect of our lives.”  \n—Boston Globe  \n“A fascinating and deeply disturbing book.”  \n—Yuval Noah Harari, author of Sapiens, a Guardian best book of  \n2016  \n“Illuminating…[O’Neil] makes a convincing case that this reliance on algorithms has gone too far.”  \n—The Atlantic  \n“A nuanced reminder that Big Data is only as good as the people wielding it.”  \n—Wired  \n“If you’ve ever suspected there was something baleful about our deep trust in data but lacked the mathematical skills to figure out exactly what it was, this is the book for you.”  \n—Salon  \n“[O’Neil] is one of the strongest voices speaking out for limiting the ways we allow algorithms to influence our lives.”  \n—Scientific American  \n“Readable and engaging…succinct and cogent…Weapons of Math Destruction is The Jungle of our age.”  \n—Mark Van Hollebeke, Data and Society  \n“Indispensable…Despite the technical complexity of its subject, Weapons of Math Destruction lucidly guides readers through these complex modeling systems.”  \n—National Post  \n“This book is wise, fierce, and desperately necessary.”  \n—Jordan Ellenberg, University of Wisconsin-Madison,  \nauthor of How Not to Be Wrong  \n“O’Neil has become [a whistle-blower] for the world of Big Data.”  \n—Time  \n“O’Neil makes a compelling case that our bot overlords are using data to discriminate unfairly and foreclose democratic choices. If you work with data, or just produce reams of it online, this is a mustread.”  \n—Ars Technica  \n“It’s a wake-up call—a journalistic heir to The Jungle and Silent Spring. Like those books, it should change the course of American society.”  \n—Aspen Times  \n“Accessible, compelling, and—something I wasn’t expecting—really fun to read.”  \n—Inside Higher Ed  \n“The most dangerous [algorithms] are also the most secretive. That’s why the…case studies in O’Neil’s book are so important; she’s telling us where to look.”  \n—The Guardian  \n“An entertaining and timely book that gives readers the tools to cut through the ideological fog obscuring the dangers of the Big Data revolution.”  \n—In These Times  \n“O’Neil’s vision of a world run by algorithms is laced with dark humor and exasperation—like a modern-day Dr. Strangelove or Catch-22. It is eye-opening, disturbing, and deeply important.”  \n—Steven Strogatz, Cornell University, author of The Joy of x  \n“The stuff of technophobes’ nightmares…Unlike some other recent books on data collection,[O’Neil’s] is not hysterical; she offers more of a chilly wake-up call as she walks readers through the ways the‘big data’ industry has facilitated social ills.”  \n—Publishers Weekly“There’s a little Philip K. Dick, a little Orwell, a little Kafka in her portrait of powerful bureaucracies ceding control ","cbCaihRHFYKE7d1A","https://ap.wps.com/l/cbCaihRHFYKE7d1A","pdf",3989712,5,1,244,"English","en",105,"# Overview\n## Big Data and Algorithmic Power\n## Risks: Inequality and Threats to Democracy\n## Secrecy, Bias, and Real-World Impacts\n## Calls for Clarity and Oversight","[{\"question\":\"What central issues does Weapons of Math Destruction focus on?\",\"answer\":\"It focuses on how big data and algorithmic models affect creditworthiness and policing tactics, often in ways that increase inequality and threaten democratic decision-making.\"},{\"question\":\"Why does the book warn about algorithmic systems?\",\"answer\":\"It argues that models can be misused or flawed, especially when underlying data, assumptions, and evaluation methods are biased or not transparent.\"},{\"question\":\"What does the book suggest readers and society should do about these risks?\",\"answer\":\"It emphasizes 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