97 Things About Ethics Everyone in Data Science Should Know: Collective Wisdom From The Experts
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- Synopsis
- 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—Tim WilsonHow to Approach Ethical Transparency—Rado KotorovUnbiased ≠ Fair—Doug HagueRules and Rationality—Christof Wolf BrennerThe Truth About AI Bias—Cassie KozyrkovCautionary Ethics Tales—Sherrill HayesFairness in the Age of Algorithms—Anna JacobsonThe Ethical Data Storyteller—Brent DykesIntroducing Ethicize™, the Fully AI-Driven Cloud-Based Ethics Solution!—Brian O’NeillBe Careful with "Decisions of the Heart"—Hugh WatsonUnderstanding Passive Versus Proactive Ethics—Bill Schmarzo
- Copyright:
- 2020
Book Details
- Book Quality:
- Publisher Quality
- Book Size:
- 250 Pages
- ISBN-13:
- 9781492072614
- Related ISBNs:
- 9781492072669, 9781492072638, 9781492072621
- Publisher:
- O'Reilly Media
- Date of Addition:
- 09/15/20
- Copyrighted By:
- O’Reilly Media, Inc.
- Adult content:
- No
- Language:
- English
- Has Image Descriptions:
- No
- Categories:
- Nonfiction, Computers and Internet, Business and Finance, Law, Legal Issues and Ethics
- Submitted By:
- Bookshare Staff
- Usage Restrictions:
- This is a copyrighted book.
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