97 Things About Ethics Everyone in Data Science Should Know

Most of the high-profile cases of real or perceived unethical activity in data science arenâ??t matters of bad intent. Rather, they occur because the ethics simply arenâ??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 Conceptâ??Tim WilsonHow to Approach Ethical Transparencyâ??Rado KotorovUnbiased ≠ Fairâ??Doug HagueRules and Rationalityâ??Christof Wolf BrennerThe Truth About AI Biasâ??Cassie KozyrkovCautionary Ethics Talesâ??Sherrill HayesFairness in the Age of Algorithmsâ??Anna JacobsonThe Ethical Data Storytellerâ??Brent DykesIntroducing Ethicizeâ?¢, the Fully AI-Driven Cloud-Based Ethics Solution!â??Brian Oâ??NeillBe Careful with Decisions of the Heartâ??Hugh WatsonUnderstanding Passive Versus Proactive Ethicsâ??Bill Schmarzo