David Martens. -- Oxford University Press, -- [2022], --

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ISBN 0192847260 (hardback)
ISBN13桁 9780192847263 (hardback)
テキストの言語 英語                  
分類:NDC10版 007.3
個人著者標目 Martens, David,
本タイトル Data science ethics :
タイトル関連情報 concepts, techniques and cautionary tales /
著者名 David Martens.
出版地・頒布地 Oxford, United Kingdom :
出版者・頒布者名 Oxford University Press,
出版年・頒布年 [2022],
数量 xii, 255 pages :
他の形態的事項 illustrations (some color), color map, portrait ;
大きさ 24 cm.
書誌注記 Includes bibliographical references (pages [217]-247) and index.
要約、抄録、注釈等 Data science ethics is all about what is right and wrong when conducting data science. Data science has so far been primarily used for positive outcomes for businesses and society. However, just as with any technology, data science has also come with some negative consequences: an increase of privacy invasion, data-driven discrimination against sensitive groups, and decision making by complex models without explanations. While data scientists and business managers are not inherently unethical, they are not trained to weigh the ethical considerations that come from their work - Data Science Ethics addresses this increasingly significant gap and highlights different concepts and techniques that aid understanding, ranging from k-anonymity and differential privacy to homomorphic encryption and zero-knowledge proofs to address privacy concerns, techniques to remove discrimination against sensitive groups, and various explainable AI techniques. Real-life cautionary tales further illustrate the importance and potential impact of data science ethics, including tales of racist bots, search censoring, government backdoors, and face recognition. The book is punctuated with structured exercises that provide hypothetical scenarios and ethical dilemmas for reflection that teach readers how to balance the ethical concerns and the utility of data. -- Provided by publisher.
一般件名 Big data -- Moral and ethical aspects.
Data mining -- Moral and ethical aspects.
資料情報1 『Data science ethics : concepts, techniques and cautionary tales /』 David Martens. Oxford University Press, [2022], (所蔵館:中央  請求記号:F/007.3/M37/D  資料コード:7115758468)
URL https://catalog.library.metro.tokyo.lg.jp/winj/opac/switch-detail.do?lang=ja&bibid=1352057015