detectai.media
Plain-English explainers on how AI / deepfake detection works, how accurate each method really is, and where it breaks down.
Self-checking your own writing before you submit it is rational, but the flag tracks predictability, not authorship, so the only way to clear it is to write worse.
By The DetectAI teamSelf-checking your own writing before you submit it is rational, but the flag tracks predictability, not authorship, so the only way to clear it is to write worse.
Post-hoc AI detectors are unreliable, biased against identifiable innocent students, and using them on minors inverts due process. The vendors and major institutions already concede the score is not proof.
Watermarking is the strongest AI-text detection there is, and still the wrong basis for an accusation: opt-in, cheaply scrubbed, and forgeable onto the innocent.
An AI detector score is a perplexity reading at an operating point you are not shown. It says the writing is statistically plain, not that a machine wrote it.
Sometimes, but only for cooperatively watermarked text. Captured media leaves an acquisition fingerprint; text leaves none, so post-hoc detection only guesses.
A calm, evidence-led guide to contesting a false AI-writing accusation: make non-use the more plausible account and put the burden back on the accuser.
The false positive is structural, not a tuning bug: the only signal a post-hoc detector has is low perplexity, which whole classes of innocent writers share.
The reliability ruling for AI text detectors: dependable where you own the watermark key or generation log, not reliable enough to carry any consequential decision.
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