Description
Book SynopsisThis book examines a variety of different concepts related to data science ethics and techniques that can help with, or lead to, ethical concerns, whilst featuring cautionary tales that illustrate the importance and potential impact of data science ethics.
Trade ReviewAn 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 *
Table of ContentsFoster Provost: Foreword Preface 1: Introduction to Data Science Ethics 2: Ethical Data Gathering 3: Ethical Data Preprocessing 4: Ethical Modelling 5: Ethical Evaluation 6: Ethical Deployment 7: Conclusion
