Data, Society, and Responsibility

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About This Book

An introduction to data governance, privacy, and ethics in the AI era. Covers surveillance, algorithmic bias, fairness, consent, the EU AI Act, and responsible data stewardship across institutions and jurisdictions.

Front Matter

1. Data, Society, and Responsibility
2. Preface
3. Acknowledgments
4. How to Use This Book
5. Prerequisites
6. Data, Society, and Responsibility

Part 1: Foundations — Data, Power, and the Digital Self

1. Part 1: Foundations — Data, Power, and the Digital Self
2. Chapter 1: The Data All Around Us
3. Chapter 2: A Brief History of Data and Society
4. Chapter 3: Who Owns Your Data?
5. Chapter 4: The Attention Economy
6. Chapter 5: Power, Knowledge, and Data
7. Chapter 6: Ethical Frameworks for the Data Age

Part 2: Privacy in the Digital Age

1. Part 2: Privacy in the Digital Age
2. Chapter 7: What Is Privacy? Definitions and Debates
3. Chapter 8: Surveillance: From Panopticon to Platform
4. Chapter 9: Data Collection and Consent
5. Chapter 10: Privacy by Design and Data Minimization
6. Chapter 11: The Economics of Privacy
7. Chapter 12: Health Data, Genetic Data, and Biometric Privacy

Part 3: Algorithmic Systems and AI Ethics

1. Part 3: Algorithmic Systems and AI Ethics
2. Chapter 13: How Algorithms Shape Society
3. Chapter 14: Bias in Data, Bias in Machines
4. Chapter 15: Fairness — Definitions, Tensions, and Trade-offs
5. Chapter 16: Transparency, Explainability, and the Black Box Problem
6. Chapter 17: Accountability and Audit
7. Chapter 18: Generative AI: Ethics of Creation and Deception
8. Chapter 19: Autonomous Systems and Moral Machines

Part 4: Governance and Regulation

1. Part 4: Governance and Regulation
2. Chapter 20: The Regulatory Landscape: A Global Survey
3. Chapter 21: The EU AI Act and Risk-Based Regulation
4. Chapter 22: Data Governance Frameworks and Institutions
5. Chapter 23: Cross-Border Data Flows and Digital Sovereignty
6. Chapter 24: Sector-Specific Governance: Finance, Health, Education
7. Chapter 25: Enforcement, Compliance, and the Limits of Law

Part 5: Corporate Responsibility and Data Ethics in Practice

1. Part 5: Corporate Responsibility and Data Ethics in Practice
2. Chapter 26: Building a Data Ethics Program
3. Chapter 27: Data Stewardship and the Chief Data Officer
4. Chapter 28: Privacy Impact Assessments and Ethical Reviews
5. Chapter 29: Responsible AI Development
6. Chapter 30: When Things Go Wrong: Breach Response and Crisis Ethics

Part 6: Society, Justice, and Emerging Frontiers

1. Part 6: Society, Justice, and Emerging Frontiers
2. Chapter 31: Misinformation, Disinformation, and Platform Governance
3. Chapter 32: Digital Divide, Data Justice, and Equity
4. Chapter 33: Labor, Automation, and the Gig Economy
5. Chapter 34: Environmental Data Ethics and Climate
6. Chapter 35: Children, Teens, and Digital Vulnerability
7. Chapter 36: National Security, Intelligence, and Democratic Oversight
8. Chapter 37: Global South Perspectives on Data Governance

Part 7: The Future of Data Governance

1. Part 7: The Future of Data Governance
2. Chapter 38: Emerging Technologies and Anticipatory Governance
3. Chapter 39: Designing Data Futures — Participation, Imagination, and Hope

Part 8: Capstone — Synthesis and Action

1. Part 8: Capstone — Synthesis and Action
2. Chapter 40: Your Responsibility — From Knowledge to Action

Appendices

1. Glossary
2. Answers to Selected Exercises
3. Bibliography
4. Appendix A: Research Methods for Data Ethics
5. Appendix B: Key Studies in Data Governance and AI Ethics
6. Appendix C: Primary Sources Guide -- Annotated Key Documents
7. Appendix D: Legal Frameworks Reference -- Comparative Data Protection Law
8. Appendix E: Privacy Tools and Resource Directory
9. Appendix F: Frequently Asked Questions
10. Appendix G: Python Data Ethics Toolkit -- Consolidated Code Reference

Data, Society, and Responsibility

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