Foundations of AI & Cybersecurity - Lesson 9: Model Output Watermarking and Model Parameter Watermarking

This lesson explains how AI watermarking helps make AI systems safer and more trustworthy by embedding hidden signals into both generated content and the models themselves. Output watermarking supports authenticity and provenance, while parameter watermarking helps prove ownership and detect tampering. Together, these techniques strengthen trust, traceability, and accountability in AI systems.

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