Description
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 Wilson
- How to Approach Ethical Transparencyâ Rado Kotorov
- Unbiased Fairâ Doug Hague
- Rules and Rationalityâ Christof Wolf Brenner
- The Truth About AI Biasâ Cassie Kozyrkov
- Cautionary Ethics Talesâ Sherrill Hayes
- Fairness in the Age of Algorithmsâ Anna Jacobson
- The Ethical Data Storytellerâ Brent Dykes
- Introducing Ethicizeâ?[, the Fully AI-Driven Cloud-Based Ethics Solution!â Brian Oâ Neill
- Be Careful with Decisions of the Heartâ Hugh Watson
- Understanding Passive Versus Proactive Ethicsâ Bill Schmarzo
Author: Bill Franks
Publisher: O'Reilly Media
Published: 09/01/2020
Pages: 346
Binding Type: Paperback
Weight: 1.02lbs
Size: 9.02h x 5.98w x 0.72d
ISBN13: 9781492072669
ISBN10: 1492072664
BISAC Categories:
- Computers | Data Science | Data Analytics
- Business & Economics | Business Ethics
- Computers | Internet | Online Safety & Privacy
About the Author
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.