Bill Franks

97 Things About Ethics Everyone in Data Science Should Know (eBook, PDF)

• Format: PDF

Produktbeschreibung

Most of the high-profile cases of real or perceived unethical activity in data science aren??t matters of bad intent. Rather, they occur because the ethics simply aren??t thought through well enough. Being ethical takes constant diligence, and in many situations identifying the right choice can be difficult.In this in-depth book, contributors from top companies in technology, finance, and other industries share experiences and lessons learned from collecting, managing, and analyzing data ethically. Data science professionals, managers, and tech leaders will gain a better understanding of ethics through powerful, real-world best practices.Articles include:Ethics Is Not a Binary Concept??Tim WilsonHow to Approach Ethical Transparency??Rado KotorovUnbiased Fair??Doug HagueRules and Rationality??Christof Wolf BrennerThe Truth About AI Bias??Cassie KozyrkovCautionary Ethics Tales??Sherrill HayesFairness in the Age of Algorithms??Anna JacobsonThe Ethical Data Storyteller??Brent DykesIntroducing Ethicize?, the Fully AI-Driven Cloud-Based Ethics Solution!??Brian O??NeillBe Careful with "e;Decisions of the Heart"e;??Hugh WatsonUnderstanding Passive Versus Proactive Ethics??Bill Schmarzo

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Produktdetails

• Verlag: O'Reilly Media
• Seitenzahl: 346
• Erscheinungstermin: 6. August 2020
• Englisch
• ISBN-13: 9781492072638
• Artikelnr.: 72369033

Autorenporträt

Bill Franks is Chief Analytics Officer for ?The International Institute For Analytics (IIA), where he provides perspective on trends in the analytics, data science, AI, and big data space and helps clients understand how IIA can support their efforts to improve analytics performance. Franks is also the author of the books Taming The Big Data Tidal Wave and The Analytics Revolution. He is a sought after speaker and frequent blogger who has been ranked a top 10 global big data influencer, a top big data and artificial intelligence influencer, and was an inaugural inductee into the Analytics Hall of Fame in 2019. His work, including several years as Chief Analytics Officer for Teradata (NYSE: TDC), has spanned clients in a variety of industries for companies ranging in size from Fortune 100 companies to small non-profit organizations.