## TL;DR
AI-generated content detection is an arms race. Watermarking embeds imperceptible signals during generation; detection tools classify text as AI/human. C2PA standards establish cryptographic provenance chains from capture to publication.

## Core Explanation
LLM text watermarking: during generation, random seed determines a "green list" of tokens the model is biased toward. Detection: count green-list tokens — statistically significant deviation indicates AI generation. Image watermarking: imperceptible patterns embedded via DCT (frequency domain) survive compression and screenshots.

## Detailed Analysis
Detection without watermarking: classifiers (GPTZero, Originality.ai) analyze perplexity and burstiness patterns. Adversarial attacks on detectors: paraphrasing (reword to evade patterns) and watermark removal (translate text through another language and back). Deepfake detection focuses on physiological inconsistencies (blink patterns, blood flow).

## Further Reading
- C2PA Initiative
- HuggingFace: AI Content Detection
- Partnership on AI: Synthetic Media Framework