# AI text – Fake AI

> Detectors, watermarks, false positives and fair rules for schools and teams.

- [Are AI Detectors Accurate? What the Studies Show](https://fake-ai.com/ai-text/are-ai-detectors-accurate/): Not accurate enough to prove anything. Independent studies found that AI text detectors miss a large share of machine-written text, especially after light editing, and wrongly flag human writing, with false positive rates above 60 percent for some non-native English writers. A detector score can start a conversation. It should never decide a grade or a job.
- [Falsely Accused of Using AI? How to Prove You Wrote It](https://fake-ai.com/ai-text/falsely-accused-of-using-ai/): Stay calm and collect process evidence before you reply: document version history, drafts, notes, sources and timestamps. Ask in writing what evidence the accusation rests on and which policy applies. Offer to explain your work in a conversation, point to published research on detector errors, and use your institution's formal appeal route if needed.
- [AI Text Watermark: How SynthID Works and Where It Fails](https://fake-ai.com/ai-text/ai-text-watermark/): An AI text watermark is a hidden statistical pattern in the words a model chooses, readable only by someone who holds the secret key. Google's SynthID Text marks Gemini output and is open source. OpenAI built a similar method but has not released it. Watermarks weaken when text is rewritten or translated, and the public cannot check them.
- [EU AI Act Article 50: AI Labelling Rules and Deadlines](https://fake-ai.com/ai-text/eu-ai-act-article-50/): Article 50 of the EU AI Act has applied since 2 August 2026. Chatbots must tell users they are talking to AI, generative AI providers must mark output in a machine-readable way, and businesses that publish deepfakes or AI-written public-interest text must label them. Systems already on the market before August get until 2 December 2026 for the marking duty.

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