Artificial Intelligence Forensics: Detecting AI-Generated Images and Text

Artificial Intelligence Forensics: Detecting AI-Generated Images and Text explores the emerging field of AI forensics and the growing challenges of identifying synthetic digital content. The book examines techniques for detecting AI-generated images, manipulated media, deepfakes, and machine-generated text using machine learning, deep learning, computer vision, natural language processing, and digital forensic methods. It discusses image artifacts, metadata analysis, linguistic patterns, model fingerprints, explainable AI, and multimodal detection approaches for verifying content authenticity. The book also addresses misinformation, academic integrity, cybersecurity, ethical concerns, and the evolving capabilities of generative AI. Combining fundamental concepts with practical methodologies and real-world applications, this resource provides valuable insights into digital content verification and forensic investigation. It is suitable for students, researchers, cybersecurity professionals, forensic analysts, educators, and practitioners working with AI-generated media and digital trust.

Dr. Shaik Akbar, Professor, CSE–Data Science Department, PSCMRCET, Vijayawada, with a Ph.D. and PDF in CSE, reflecting 22+ years of excellence in teaching, research, and administration. He has authored numerous journal papers, secured multiple patents, presented at conferences, and published several textbooks earning awards for academic contributions. As a project and PhD supervisor, he mentors and nurtures academic growth among students.