03359nam 2200637 - 450 991080389680332120251002100058.001928472609780192847263hardback01928472799780192847270paperback(OCoLC)on127346906320210908d2022 uy 0engrdacontentrdacontentrdamediardacarrierData science ethics concepts, techniques and cautionary tales /David MartensOxford, United Kingdom :Oxford University Press,[2022]xii, 255 pages illustrations (some color), color map ;24 cmIncludes bibliographical references and index.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.Oxford, United Kingdom :Big dataMoral and ethical aspectsData miningMoral and ethical aspectsDonnées volumineusesAspect moralExploration de données (Informatique)Aspect moralMATHEMATICS / GeneralbisacshBig dataMoral and ethical aspects.Data miningMoral and ethical aspects.Données volumineusesAspect moral.Exploration de données (Informatique)Aspect moral.MATHEMATICS / General.005.7Mertens1588595YDXYDXBDXUKMGBOCLCOTOHKKUFIEYDXDLCBK9910803896803321acquire1 shelf copypolicy defaultSOC 188478/2024FSPBC005.74-MAR-1291/2025SC1rk07 2023-04-26 z-processorrk07 2023-05-04 to CMDFSPBCSC1Data science ethics3882531UNINA