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 Wilson

How to Approach Ethical Transparency-Rado Kotorov

Unbiased ≠ Fair-Doug Hague

Rules and Rationality-Christof Wolf Brenner

The Truth About AI Bias-Cassie Kozyrkov

Cautionary Ethics...