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Who stands behind this episode
✓ Expert curatedThe narration is AI-generated. The substance is not — every atom is drawn from material this curator wrote, reviewed and signed off before it was voiced.
Syllabus
1. Frame it honestly first
- Human Limitations in AI Detection
- The Asymmetric Arms Race
2. The Four-Layer Detection Stack
- Provenance (C2PA)
- Watermarking (SynthID)
- Metadata Forensics and Trained Classifiers
- Layering for Robust Detection
3. Reading Detector Output Without Fooling Yourself
- Avoiding Common Misinterpretations
- Combining Probabilistic Signals
4. The Verification Workflow (The Skill)
- Initial Steps: Provenance and Watermarks
- Expanding the Search: Reverse Image and Metadata
- Classifiers and Human Reasoning
- Identity-Critical Cases and Synthesis
5. Tells and Their Expiry Date
- Recognizing AI Artifacts
- The Ephemeral Nature of Tells
6. The Regulatory Tailwind (Context)
- Regulatory Push for Provenance
- The Value of 'Check Provenance First'