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Data Ethics in the Age of AI / Arshad Khan.

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Format:
Book
Author/Creator:
Khan, Arshad, author.
Language:
English
Subjects (All):
Artificial intelligence.
Artificial intelligence--Data processing.
Physical Description:
1 online resource (326 pages)
Edition:
First edition.
Place of Publication:
Boston, MA : Mercury Learning and Information, [2025]
Summary:
In a world increasingly shaped by data and artificial intelligence, the ethical challenges surrounding data use have never been more critical. Data Ethics in the Age of AI provides a compelling exploration of the moral, legal, and societal dimensions of data in the digital era.This insightful book delves into key issues such as privacy, algorithmic bias, transparency, and accountability, offering readers a robust framework for navigating the complex intersection of technology and ethics. With real-world examples and thought-provoking discussions, it equips business leaders, policymakers, researchers, and students with the knowledge and tools to foster ethical responsibility in the face of rapid technological advancements.Discover how we can build a future where data is used responsibly, equitably, and for the greater good. Data Ethics in the Age of AI is your essential guide to understanding and shaping the ethical landscape of our data-driven world.
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
Notes:
Description based on publisher supplied metadata and other sources.
Description based on print version record.
ISBN:
1-5015-2264-7
1-5015-2263-9
OCLC:
1499632082

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