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97 Things about Ethics Everyone in Data Science Should Know

Bill Franks
4.9/5 (12566 ratings)
Read Now Download Now ⏭ listen AudioBook
Description: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(TM), the Fully AI-Driven Cloud-Based Ethics Solution!--Brian O'NeillBe Careful with Decisions of the Heart--Hugh WatsonUnderstanding Passive Versus Proactive Ethics--Bill SchmarzoWe have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with 97 Things about Ethics Everyone in Data Science Should Know. To get started finding 97 Things about Ethics Everyone in Data Science Should Know, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.
Pages
346
Format
PDF, EPUB & Kindle Edition
Publisher
O'Reilly Media
Release
2020
ISBN
1492072613

97 Things about Ethics Everyone in Data Science Should Know

Bill Franks
4.4/5 (1290744 ratings)
Read Now Download now ⏭ listen AudioBook
Description: 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(TM), the Fully AI-Driven Cloud-Based Ethics Solution!--Brian O'NeillBe Careful with Decisions of the Heart--Hugh WatsonUnderstanding Passive Versus Proactive Ethics--Bill SchmarzoWe have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with 97 Things about Ethics Everyone in Data Science Should Know. To get started finding 97 Things about Ethics Everyone in Data Science Should Know, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.
Pages
346
Format
PDF, EPUB & Kindle Edition
Publisher
O'Reilly Media
Release
2020
ISBN
1492072613

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