Can AI Detectors Be Fooled? A Transparent Look at False Positives and Paraphrasing
Yes — every AI detector can be evaded with enough paraphrasing, and every detector can misfire on legitimate human writing. Here's an honest look at both failure modes and what they mean for using detection responsibly.
How We Calculate a Similarity Score: Inside AuthenAI's Plagiarism Detection Algorithm
A transparent look at the actual weighted algorithm behind AuthenAI's plagiarism similarity scores — what gets measured, how the four sub-scores are combined, and why a handful of heavily-copied passages aren't diluted away in a long document.
Inside Our Fact-Check Verification Ladder: How AuthenAI Cross-Checks Academic Citations
How AuthenAI actually verifies a citation exists and says what a paper claims it says — the 9-layer search strategy across CrossRef, Semantic Scholar, OpenAlex, PubMed, and DBLP, and why upstream errors never get read as fabrication.
Why AI Detection Scores Aren't Verdicts: The Science and Limits of AI Writing Detection
AI detection technology has real, documented limits — false positives on non-native English writing, false negatives on paraphrased AI text. Here's why AuthenAI treats a detection score as a signal to investigate, not a verdict.
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