97 Things About Ethics Everyone in Data Science Should Know: Collective Wisdom from the Experts - Softcover
Synopsis
<p>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. <p> 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. <p> Articles include: <ul> <li>Ethics Is Not a Binary Concept-Tim Wilson <li>How to Approach Ethical Transparency-Rado Kotorov <li>Unbiased ? Fair-Doug Hague <li>Rules and Rationality-Christof Wolf Brenner <li>The Truth About AI Bias-Cassie Kozyrkov <li>Cautionary Ethics Tales-Sherrill Hayes <li>Fairness in the Age of Algorithms-Anna Jacobson <li>The Ethical Data Storyteller-Brent Dykes <li>Introducing Ethicize™, the Fully AI-Driven Cloud-Based Ethics Solution!-Brian O'Neill <li>Be Careful with "Decisions of the Heart"-Hugh Watson <li>Understanding Passive Versus Proactive Ethics-Bill Schmarzo </ul>
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About the Author
Bill Franks has spent his career focusing on analytics, data science, AI, and big data. He began his career in hands-on roles coding and building models, and then advanced to hold Chief Analytics Officer positions in both large, public company and small, private organization environments.
Franks is also the author of the books Taming The Big Data Tidal Wave, The Analytics Revolution, and 97 Things About Ethics Everyone In Data Science Should Know. He is a sought after speaker and frequent blogger who has been ranked in multiple global influencer lists tied to big data, analytics, and AI, and was an inaugural inductee into the Analytics Hall of Fame.
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Paperback. Condition: New. 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 EthicizeT, 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. Seller Inventory # LU-9781492072669