Topic
When AI can generate convincing text, images, audio, and video, the concept of authenticity becomes fragile. This topic covers the technologies behind synthetic media, the challenges of detection and attribution, and what the erosion of default trust means for society.
MIT research reveals that AI-generated images are increasingly difficult to trace back to their training data. This article explains attribution decay, its implications for copyright and trust, and what can be done about it.
The European Union began enforcing core rules of the AI Act on 2 August 2026. This article explains what the new transparency obligations mean for how you encounter AI-generated content, what the law requires, and where it still falls short.
Why Your Brain Can't Trust What It Sees or Hears
Your brain evolved to trust what your eyes and ears tell you. Deepfake Reality explains why that trust is now a vulnerab…
When Real Becomes Expensive — The Death of Default Trust
When AI can produce convincing fakes at near-zero cost, authentic content becomes a luxury. The Authenticity Tax explore…
The Quiet Flood Drowning the Internet
Slop is the quiet flood of low-quality, AI-generated content that is drowning the internet. From auto-generated articles…
The Theory That Sounded Crazy Until It Was True
The Dead Internet Theory started as a conspiracy theory — what if most of the traffic, content, and interaction on the i…
Open technical standard for content provenance and authenticity, backed by Adobe, Microsoft, and others.
AI-powered tool for detecting deepfake videos and verifying media authenticity.
AI content detection tool designed to identify whether text was generated by AI models.