Building Reliable Judgment for AI-Generated Media Detection
R3 · VALIDATE11 minThis course will teach you to reliably detect AI-generated media by applying a systematic, multi-signal verification workflow. You will learn to stack and synthesize evidence from provenance, watermarks, metadata, and classifiers to build confident judgments, rather than relying on single tools or intuition.
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Domain Expert
✓ Expert curated
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'