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Data Privacy in the Age of AI. The CyberInsider Executive Series, #8
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- FormatePub
- ISBN8232383749
- EAN9798232383749
- Date de parution17/12/2025
- Protection num.pas de protection
- Infos supplémentairesepub
- ÉditeurDraft2Digital
Résumé
Data Privacy in the Age of AI moves beyond checkbox compliance to explore how organizations can use data responsibly, ethically, and transparently in an AI-driven world. Rather than focusing solely on regulations, this book examines the deeper questions of trust, accountability, and long-term risk that executives and leaders must now confront. Written for business leaders, privacy professionals, and technology decision-makers, this book explains how AI changes the nature of data collection, consent, and usage.
It highlights why privacy failures are no longer just legal issues, but reputational and strategic threats that can undermine customer trust and organizational credibility. In this book, you will learn how to:. Understand how AI reshapes data privacy risks. Move from compliance-driven privacy to ethical data governance. Balance innovation with responsible data use. Identify hidden privacy risks in AI models and data pipelines.
Align privacy strategy with business objectives and values. Build trust with customers, regulators, and stakeholdersData Privacy in the Age of AI provides a practical, forward-looking framework for organizations that want to harness AI's potential without sacrificing ethics, trust, or accountability. This book is essential reading for leaders who recognize that sustainable AI success depends not only on what technology can do, but on how responsibly it is used.
It highlights why privacy failures are no longer just legal issues, but reputational and strategic threats that can undermine customer trust and organizational credibility. In this book, you will learn how to:. Understand how AI reshapes data privacy risks. Move from compliance-driven privacy to ethical data governance. Balance innovation with responsible data use. Identify hidden privacy risks in AI models and data pipelines.
Align privacy strategy with business objectives and values. Build trust with customers, regulators, and stakeholdersData Privacy in the Age of AI provides a practical, forward-looking framework for organizations that want to harness AI's potential without sacrificing ethics, trust, or accountability. This book is essential reading for leaders who recognize that sustainable AI success depends not only on what technology can do, but on how responsibly it is used.
