Data Ethics in the Age of AI
Volume in the series
Publisher:Mercury Learning and Information
By: Arshad Khan
Paid access
|Feb 2025
Table of contents
Frontmatter
Contents
Preface
Chapter 1: Introduction to Data Ethics
Chapter 2: The Importance of Data Ethics
Chapter 3: Core Ethics in Data Governance
Chapter 4: Ethical Principles in Data Collection
Chapter 5: Privacy in Data Ethics
Chapter 6: Security in Data Ethics
Chapter 7: Ethical Data Usage and Minimization
Chapter 8: Data Bias
Chapter 9: Data Bias Mitigation
Chapter 10: Bias in Computer Systems
Chapter 11: Transparency and Accountability
Chapter 12: Ethical AI: Tackling Bias and Fairness
Chapter 13: Ethical Implications of AI in Decision-Making Systems
Chapter 14: Ethical Implications of Big Data Analytics
Chapter 15: Data Ethics in Business Contexts
Chapter 16: Regulatory Frameworks and Compliance
Chapter 17: The Future of Data Ethics
Appendix: Case Studies
Index
22 chapters available
PDF ISBN: 978-1-5015-2263-5 | E-Pub ISBN: 978-1-5015-2264-2 | Paperback ISBN: 978-1-5015-2411-0 | DOI: 10.1515/9781501522635
Publisher: Mercury Learning and Information
Copyright owner: © 2025 Walter de Gruyter GmbH, Berlin/Boston
Publication date: 2025
Language: English
Pages: 327
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