Data Science Ethics: Concepts, Techniques and Cautionary Tales
by David Martens
- Google Books
- bol.com (BE/NL)
- Standaard (BE)
- Oxford University Press UK
- Oxford University Press US
- Amazon (FR)
- Amazon (US)
Available as e-book and hard cover as well.
The book is used in the course Data Science and Ethics at the University of Antwerp. The slides for the course, which follow the book, can be downloaded here: slides. Please mail me at david.martens@uantwerp.be for the password. Instructors can also obtain exam questions.
What People are Saying:
Foreword by Foster Provost (New York University)
"An excellent reading with both depth and breadth on some of the most important challenges and risks data scientists, businesses, governments and societies face today as Artificial Intelligence adoption grows. These are topics everyone needs to be aware of, and this is one of the very few must read books on these issues." - Theodoros Evgeniou, Professor of Decision Sciences and Technology Management at INSEAD, France
"This is an important and timely book for data scientists, written in a clear and engaging way. Motivated by many relevant examples, the author successfully de-mystifies data ethics lingo and presents a comprehensive view of ethical considerations during the entire data science lifecycle." - Galit Shmueli, Tsing Hua Distinguished Professor, Institute of Service Science and Institute Director, College of Technology Management, National Tsing Hua University, Taiwan
Foreword by Foster Provost (New York University)
"An excellent reading with both depth and breadth on some of the most important challenges and risks data scientists, businesses, governments and societies face today as Artificial Intelligence adoption grows. These are topics everyone needs to be aware of, and this is one of the very few must read books on these issues." - Theodoros Evgeniou, Professor of Decision Sciences and Technology Management at INSEAD, France
"This is an important and timely book for data scientists, written in a clear and engaging way. Motivated by many relevant examples, the author successfully de-mystifies data ethics lingo and presents a comprehensive view of ethical considerations during the entire data science lifecycle." - Galit Shmueli, Tsing Hua Distinguished Professor, Institute of Service Science and Institute Director, College of Technology Management, National Tsing Hua University, Taiwan
Who is using the book?
- Belgium
- University of Antwerp
- Canada
- University of Waterloo
- China
- Beijing Jiaotong University
- India
- St. Xavier's College
- University of Mumbai
- Thiagarajar College of Engineering
- Babu Banarasi Das University
- Spain
- Advantere
- United Kingdom
- University of East Anglia
- Austria
- University of Salzburg