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Data Ethics in the Age of AI / Arshad Khan.
- 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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