Sharing my book chapters: A Practical Guide to Detect GenAI Content
I’m excited to announce the release of my new book: A Practical Guide to Detect GenAI Content!
After joining a Nobel Prize Roundtable on AI Content Governance in March 2024, I couldn’t stop thinking: how do we, as practitioners, stay grounded in truth in the GenAI era?
Many late nights of reading, surveying, and writing later — I’m happy to share the first edition of this book with you.
Today, we’re seeing Studio Ghibli-style images and videos flooding the internet, reigniting debate around AI-generated content governance. This makes the need for practical, cross-modal GenAI discerning more urgent than ever. The book breaks it down across three core chapters:
- Text: Model-based detection, watermarking, linguistic cues
- Visual: Deepfake spotting, reverse image tracing, detection tools
- Audio: Voice cloning & AI music analysis, tools like AudioSeal
Distilled from 300+ research papers into an approachable, hands-on guide, built for cybersecurity pros, educators, journalists, and curious digital citizens alike. No PhD required — just curiosity and purpose.
This field is evolving fast — I plan to work on a 2nd Edition. If you’re passionate about AI integrity and truth in media, let’s connect!