登入選單
返回Google圖書搜尋
97 Things about Ethics Everyone in Data Science Should Know
Bill Franks
其他書名
Collective Wisdom from the Experts
出版O'Reilly, 2020
主題Business & Economics / Business EthicsComputers / Artificial Intelligence / GeneralComputers / Computer ScienceComputers / Data Science / GeneralComputers / Data Science / Data AnalyticsComputers / Internet / Online Safety & Privacy
ISBN14920726649781492072669
URLhttp://books.google.com.hk/books?id=wF1LzQEACAAJ&hl=&source=gbs_api
註釋Part 1.Foundational ethical principles.1.The truth about AI bias /Cassie Kozyrkov --2.Introducing ethicize, the fully AI-driven cloud-based ethics solution! /Brian T. O'Neill --3."Ethical" is not a binary concept /Tim Wilson --4.Cautionary ethics tales : phrenology, eugenics, ... and data science? /Sherrill Hayes --5.Leadership for the future : how to approach ethical transparency /Rado Kotorov --6.Rules and rationality /Christof Wolf Brenner --7. Understanding passive versus proactive ethics /Bill Schmarzo --8.Be careful with "decisions of the heart" /Hugh Watson --9.Fairness in the age of algorithms --10.Data science ethics : what is the foundational standard? /Mario Vela --11.Understand who your leaders serve /Hassen Masum --Part 2.Data science and society.12.Unbiased [is not] fair : for data science, it cannot be just about the math /Doug Hague --13.Trust, data science, and Stephen Covey /James Taylor --14.Ethics must be a cornerstone of the data science curriculum /Linda Burtch --15.Data storytelling : the tipping point between fact and fiction /Brent Dykes --16.Informed consent and data literacy education are crucial to ethics /Sherrill Hayes --17.First, do no harm /Eric Schmidt --18.Why research should be reproducible /Stuart Buck --19.Build multiperspective AI /Hassan Masum and Sébastien Paquet --20.Ethics as a competitive advantage /Dave Mathias --21.Algorithmic bias : are you a bystander or an upstander? /Jitendra Mudhol and Heidi Livingston Eisips --22.Data science and deliberative justice : the ethics of the voice of "the other" /Robert J. McGrath --23.Spam. Are you going to miss it? /John Thuma --24.Is it wrong to be right? /Marty Ellingsworth --25.We're not yet ready for a trustmark for technology /Hannah Kitcher and Laura James --Part 3.The ethics of data.26.How to ask for customers' data with transparency and trust /Rasmus Wegener --27.Data ethics and the lemming effect /Bob Gladden --28.Perceptions of personal data /Irina Raicu --29.Should data have rights? /Jennifer Lewis Priestley.