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Data Science Ethics David Martens (Professor of Data Science, Professor of Data Science, University of Antwerp, Belgium)

Data Science Ethics By David Martens (Professor of Data Science, Professor of Data Science, University of Antwerp, Belgium)

Summary

This 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.

Data Science Ethics Summary

Data Science Ethics: Concepts, Techniques, and Cautionary Tales by David Martens (Professor of Data Science, Professor of Data Science, University of Antwerp, Belgium)

Data science ethics is all about what is right and wrong when conducting data science. Data science has so far been primarily used for positive outcomes for businesses and society. However, just as with any technology, data science has also come with some negative consequences: an increase of privacy invasion, data-driven discrimination against sensitive groups, and decision making by complex models without explanations. While data scientists and business managers are not inherently unethical, they are not trained to weigh the ethical considerations that come from their work - iData Science Ethics/i addresses this increasingly significant gap and highlights different concepts and techniques that aid understanding, ranging from k-anonymity and differential privacy to homomorphic encryption and zero-knowledge proofs to address privacy concerns, techniques to remove discrimination against sensitive groups, and various explainable AI techniques. Real-life cautionary tales further illustrate the importance and potential impact of data science ethics, including tales of racist bots, search censoring, government backdoors, and face recognition. The book is punctuated with structured exercises that provide hypothetical scenarios and ethical dilemmas for reflection that teach readers how to balance the ethical concerns and the utility of data.

Data Science Ethics Reviews

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 *

About David Martens (Professor of Data Science, Professor of Data Science, University of Antwerp, Belgium)

David Martens is Professor of Data Science at the Department of Engineering Management, University of Antwerp, Belgium. He teaches data mining and data science and ethics to postgraduate students studying business economics and business engineering. In his work, David has collaborated with large banks, insurance companies and telco companies, as well as with various technology startups. His research has been published in high-impact journals and has received several awards.

Table of Contents

Foster 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

Additional information

NGR9780192847270
9780192847270
0192847279
Data Science Ethics: Concepts, Techniques, and Cautionary Tales by David Martens (Professor of Data Science, Professor of Data Science, University of Antwerp, Belgium)
New
Paperback
Oxford University Press
2022-03-24
272
N/A
Book picture is for illustrative purposes only, actual binding, cover or edition may vary.
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