The rapid advancement of artificial intelligence is transforming the way individuals, organizations, and societies create, verify, and protect digital identity. As AI systems become more capable of generating realistic language, images, voices, and behavioral patterns, the risk of identity theft has grown beyond traditional fraud into a broader challenge for privacy, trust, and human rights. Malicious actors can now use highly personalized social engineering, deepfakes, and automated deception to exploit weaknesses in both technical systems and human judgment. These developments expose the limitations of conventional cybersecurity approaches that rely on static credentials, centralized data storage, and reactive threat detection. Addressing this evolving threat requires stronger privacy technologies, resilient digital identity frameworks, and a human-centered commitment to safeguarding autonomy, dignity, and security in an increasingly AI-driven world. Privacy Technologies and Human Rights Defense Against AI-Powered Identity Theft investigates the central tension between the weaponization of AI for hyper-personalized exploitation and the adoption of decentralized, cryptographic defenses. By connecting high-level cryptography with the sociological impacts of AI-driven manipulation, this work establishes a new interdisciplinary framework for cognitive security. Covering topics such as algorithmic accountability, data integrity, and information and communication technology, this book is an excellent resource for academicians, researchers, technical leaders and practitioners, cybersecurity professionals, systems architects, innovators, policy and advocacy groups, and more.
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