Data Science Ethics - Concepts, Techniques, and Cautionary Tales

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.

Table des matières

• 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

A propos de l'auteur

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.

Résumé

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.

Texte suppl.

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.

Détails du produit

• Auteurs: Martens , David Martens, David (Professor of Data Science Martens
• Edition: Oxford University Press
• Langues: Anglais
• Format d'édition: Livre de poche
• Sortie: 28.02.2022
• EAN: 9780192847270
• ISBN: 978-0-19-284727-0
• Pages: 272
• Catégories: Littérature spécialisée > Philosophie, religion > Philosophie: général, ouvrages de référence; Sciences naturelles, médecine, informatique, technique > Informatique, ordinateurs > Informatique; Artificial Intelligence, COMPUTERS / Computer Science, MATHEMATICS / Probability & Statistics / General, Ethics & moral philosophy, Ethics and moral philosophy, Ethical & Social Aspects Of Computing, COMPUTERS / Artificial Intelligence / General, COMPUTERS / Data Science / General