Overview
Most of the high-profile cases of real or perceived unethical activity in data science arenāt matters of bad intent. Rather, they occur because the ethics simply arenāt 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 ConceptāTim Wilson
- How to Approach Ethical TransparencyāRado Kotorov
- Unbiased ā FairāDoug Hague
- Rules and RationalityāChristof Wolf Brenner
- The Truth About AI BiasāCassie Kozyrkov
- Cautionary Ethics TalesāSherrill Hayes
- Fairness in the Age of AlgorithmsāAnna Jacobson
- The Ethical Data StorytellerāBrent Dykes
- Introducing Ethicizeā¢, the Fully AI-Driven Cloud-Based Ethics Solution!āBrian OāNeill
- Be Careful with "Decisions of the Heart"āHugh Watson
- Understanding Passive Versus Proactive EthicsāBill Schmarzo
This book title, 97 Things About Ethics Everyone in Data Science Should Know (Collective Wisdom from the Experts), ISBN: 9781492072669, by Bill Franks, published by O'Reilly Media (September 8, 2020) is available in paperback. Our minimum order quantity is 25 copies. All standard bulk book orders ship FREE in the continental USA and delivered in 4-10 business days.
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