Call for Chapters: Privacy Technologies and Human Rights Defense Against AI-Powered Identity Theft

Editors

Antonio Pesqueira, ISCTE – University Institute of Lisbon, Switzerland

Call for Chapters

Proposals Submission Deadline: June 21, 2026
 Full Chapters Due: September 13, 2026
 Submission Date: September 13, 2026

Introduction

The convergence of super-human AI capabilities and the systemic erosion of personal data privacy presents an existential threat. As AI-driven social engineering and deep-faked digital identities become indistinguishable from reality, traditional cybersecurity mechanisms are failing. This edited volume aims to provide a blueprint for a new "Privacy-by-Design" societal infrastructure. The book will investigate the central tension between the weaponization of AI for hyper-personalized exploitation and the adoption of decentralized, cryptographic defenses. By connecting high-level cryptography like Zero-Knowledge Proofs (ZKPs) with the sociological impacts of AI-driven manipulation, this work establishes a new interdisciplinary framework for "Cognitive Security". We invite contributions that explore how technology can enforce human rights more effectively than retrospective legislation, specifically targeting academics, cybersecurity professionals, and policy makers.

Objective

The book will be designed to be more than just a technical manual; it is a strategic blueprint for maintaining human autonomy in an era where AI can mimic us better than we can ourselves. The primary goal is to address the "existential threat" created by the convergence of super-human AI capabilities and the systemic erosion of personal data privacy. Specifically, the book aims to: Construct a Blueprint for "Privacy-by-Design": (1) Move beyond reactive security to create a societal infrastructure where privacy is baked into the architecture. (2) Shift the Power Dynamic: Utilize technologies like Zero-Knowledge Proofs (ZKPs) and Decentralized Identity (DID) to move control away from data-extractive corporations and back to the individual. (3) Neutralize AI-Driven Social Engineering: Provide technical and tactical defenses against "hyper-personalized" manipulation and deep-faked identities.

Target Audience

The target audience for this publication is interdisciplinary, aiming to bridge the gap between technical developers, legal scholars, and social advocates. The primary groups include: (1) Core Academic & Research Community (2) Scholars and Researchers (3) Interdisciplinary Academics (4) Technical Leaders & Practitioners (5) Cybersecurity Professionals & CTOs (6) Systems Architects (7) Practitioners and Innovators (8) Policy & Advocacy Groups (9) Human Rights Advocates (10) Policymakers & Regulators.

Recommended Topics

1. The AI Weaponization & Identity Crisis 2. Synthetic Identity: AI-Generated Personas 3. Hyper-Personalized Social Engineering 4. Deepfakes vs. Biometric Authentication 5. Algorithmic Gaslighting & Manipulation 6. Cryptographic & Decentralized Defense 7. Zero-Knowledge Proofs (ZKPs) for Identity 8. Self-Sovereign Identity (SSI) Frameworks 9. Soulbound Tokens & Proof of Personhood 10. Secure Multi-Party Computation (SMPC) 11. Governance, Ethics & Future Horizons

Submission Procedure

Researchers and practitioners are invited to submit on or before June 21, 2026, a chapter proposal of 1,000 to 2,000 words clearly explaining the mission and concerns of his or her proposed chapter. Authors will be notified by July 5, 2026 about the status of their proposals and sent chapter guidelines.Full chapters of a minimum of 10,000 words (word count includes references and related readings) are expected to be submitted by September 13, 2026, and all interested authors must consult the guidelines for manuscript submissions at https://www.igi-global.com/publish/contributor-resources/before-you-write/ prior to submission. All submitted chapters will be reviewed on a double-anonymized review basis. Contributors may also be requested to serve as reviewers for this project.

Note: There are no submission or acceptance fees for manuscripts submitted to this book publication, Privacy Technologies and Human Rights Defense Against AI-Powered Identity Theft. All manuscripts are accepted based on a double-anonymized peer review editorial process.

All proposals should be submitted through the eEditorial Discovery® online submission manager.

Publisher

This book is scheduled to be published by IGI Global Scientific Publishing, an international academic publisher of the "Information Science Reference", "Medical Information Science Reference", "Business Science Reference", and "Engineering Science Reference" imprints. IGI Global Scientific Publishing specializes in publishing reference books, scholarly journals, and electronic databases featuring academic research on a variety of innovative topic areas including, but not limited to, education, social science, medicine and healthcare, business and management, information science and technology, engineering, public administration, library and information science, media and communication studies, and environmental science. For additional information regarding the publisher, please visit https://www.igi-global.com. This publication is anticipated to be released in 2027.

Indexing Information for Prospective Authors

IGI Global Scientific Publishing meets the criteria for inclusion in major indexing services such as Scopus; however, it is important to note that all indexing decisions are made independently by these services. IGI Global Scientific Publishing books are selectively indexed by the indexing organization after publication. Indexing cannot be guaranteed for any book prior to publication, and the indexing organization has complete control over the final selection and timeline.

Important Dates

June 21, 2026: Proposal Submission Deadline
July 5, 2026: Notification of Acceptance
September 13, 2026: Full Chapter Submission
October 25, 2026: Review Results Returned
November 22, 2026: Final Acceptance Notification
November 29, 2026: Final Chapter Submission

Inquiries

Antonio Pesqueira
ISCTE – University Institute of Lisbon
antonio_pesqueira@iscte-iul.pt
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