Data Science Ethics: Concepts, Techniques, and Cautionary Tales - Brossura

Martens, David

Brossura

ISBN 10: 0192847279 ISBN 13: 9780192847270

Casa editrice: OUP Oxford, 2022

Riassunto

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 - Data Science Ethics 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.

Su questo libro

Informazioni sull'autore

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.

Dettagli dell'edizione

• Editore: OUP Oxford
• Data di pubblicazione: 2022
• Lingua: Inglese
• ISBN 10: 0192847279
• ISBN 13: 9780192847270
• Rilegatura: Copertina flessibile
• Numero di pagine: 272
• Contatto del produttore: non disponibile
• Persona responsabile: Oxford University Press España S.A. of El Parque Empresarial; product.safety@oup.com; ; San Fernando de Henares, Avenida de Castilla, 2 - 28830 Madrid; Madrid; Spagna