Some months ago I was approached about being part and contributing to a new book on Data Ethics for Data Science. It is now available to purchase on Amazon (and elsewhere), and this book now becomes the Sixth book that I’ve either solely or co-written. Check out my all my books here.
This has been an area I’ve been working in for some time now, in both research and assisting companies. I was able to make a couple of contributions to this book, and there has been great contributions from (other) global experts in Data Science and Data Ethics, and has been edited by Bill Franks.
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.