97 Things About Ethics Everyone in Data Science Should Know: Collective Wisdom from the Experts
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: Jim Wilson
  • How to Approach Ethical Transparency: Rado Kotorov
  • Unbiased & Fair: Doug Hague
  • Rules and Rational:: Christof Wolf Brenner
  • The Truth About AI: Cassie Kozyrkov
  • Cautionary Ethics Tales: Sherrill Hayes
  • Fairness in the Age of Algorithms: Anna Jacobson
  • The Ethical Data Storyteller: Brent Dykes
  • Introducing Ethics: the Fully AI-Driven Cloud-Based Ethics Solution: Brian O'Neill
  • Be Careful with Decisions of the Heart: Hugh Watson
  • Understanding Passive Versus Proactive Ethics: Bill Schmarzo
1137509762
97 Things About Ethics Everyone in Data Science Should Know: Collective Wisdom from the Experts
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: Jim Wilson
  • How to Approach Ethical Transparency: Rado Kotorov
  • Unbiased & Fair: Doug Hague
  • Rules and Rational:: Christof Wolf Brenner
  • The Truth About AI: Cassie Kozyrkov
  • Cautionary Ethics Tales: Sherrill Hayes
  • Fairness in the Age of Algorithms: Anna Jacobson
  • The Ethical Data Storyteller: Brent Dykes
  • Introducing Ethics: the Fully AI-Driven Cloud-Based Ethics Solution: Brian O'Neill
  • Be Careful with Decisions of the Heart: Hugh Watson
  • Understanding Passive Versus Proactive Ethics: Bill Schmarzo
49.99 In Stock
97 Things About Ethics Everyone in Data Science Should Know: Collective Wisdom from the Experts

97 Things About Ethics Everyone in Data Science Should Know: Collective Wisdom from the Experts

by Bill Franks
97 Things About Ethics Everyone in Data Science Should Know: Collective Wisdom from the Experts

97 Things About Ethics Everyone in Data Science Should Know: Collective Wisdom from the Experts

by Bill Franks

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$49.99 
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Overview

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: Jim Wilson
  • How to Approach Ethical Transparency: Rado Kotorov
  • Unbiased & Fair: Doug Hague
  • Rules and Rational:: Christof Wolf Brenner
  • The Truth About AI: Cassie Kozyrkov
  • Cautionary Ethics Tales: Sherrill Hayes
  • Fairness in the Age of Algorithms: Anna Jacobson
  • The Ethical Data Storyteller: Brent Dykes
  • Introducing Ethics: the Fully AI-Driven Cloud-Based Ethics Solution: Brian O'Neill
  • Be Careful with Decisions of the Heart: Hugh Watson
  • Understanding Passive Versus Proactive Ethics: Bill Schmarzo

Product Details

ISBN-13: 9781492072669
Publisher: O'Reilly Media, Incorporated
Publication date: 09/15/2020
Pages: 344
Product dimensions: 6.00(w) x 9.00(h) x (d)

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.
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