Artificial intelligence (AI) is deeply embedded in modern life, controlling critical functions in healthcare, transportation, and industry. However, its power also enables manipulation, deception, and harm. Our book, "Mitigating the Risks of AI Deepfakes," explores the dark side of AI and its dangerous implications for human well-being.
The book examines how attackers exploit AI to spread misinformation, steal identities, and jeopardize public safety. It also addresses the national security risks posed by deepfakes used in political sabotage and blackmail, especially in societies reliant on reputation and visual evidence.
While AI offers efficiency and insight, unchecked development poses significant risks. This book provides an overview of these threats and potential solutions, synthesizing research on combating AI manipulation through advanced machine learning techniques.
" Mitigating the Risks of AI Deepfakes" is a call to action for consumers, companies, and governments to address the hazards of AI proliferation. It equips readers with the knowledge to protect civil liberties and human life as AI technology advances.

This book consists of 10 chapters organized into 3 parts.
Part I Al Deepfake Landscape
Chapter 1: The Promise and Peril of Al-Understanding its Dual Capabilities.
Chapter 2: The Advent of Deepfakes - A Technology Gone Awry.
Chapter 3: The Damage-Deepfakes' Harms to Individuals and Society.
Part Il Possible solutions to the problem and multi-disciplinary defenses.
Chapter 4 Digital Forensics - Detecting and Authenticating Al Content.
Chapter 5 Legal Remedies Regulations and Frameworks to Combat.
Chapter 6 Technical Solutions - Algorithms and Systems to Identify Deepfakes.
Chapter 7 Societal Resilience - Inoculating People Against Manipulation.
Part III The Path Forward
Chapter 8 Emerging Innovations - Cutting-Edge Defenses Against Deepfakes.
Chapter 9 Ongoing Vigilance – Maintaining Perspective on Al's Dual Uses
Chapter 10 Securing Our Shared Future - Recommendations for Healthy Tech Progress.



Editors
Tarek Moulahi
Associate professor, Qassim University, Saudi Arabia
FSTSB, University of Kairouan, Tunisia
t.moulahi@qu.edu.sa

Malka N. Halgamuge
Senior Lecturer in cybersecurity at RMIT University, Melbourne, Australia
malka.halgamuge@rmit.edu.au

Pascal Lorenz
Professor, University of Haute Alsace, Université de Haute Alsace, France
pascal.lorenz@uha.fr

Submission Guidelines

Chapters submitted for the book must be original and must not be previously published or under consideration. Authors should send their manuscripts in Word format to the following email:
aideepfakebook@gmail.com

Chapters abstract submission deadline:
15/10/2024
Notification of acceptance:
30/10/2024
Full chapter submission:
31/01/2025
Notification of acceptance
20/02/2025
Camera-ready version
15/03/2025