So, how do AI detectors work? They measure how natural or machine-like text looks by analyzing perplexity, burstiness, vocabulary, and style. Classifiers trained on large datasets sort writing into human or AI categories.
Most detectors combine plagiarism scans and readability checks, giving creators and educators a fuller picture. Accuracy rates can reach over 90%, but no tool is flawless—false positives and edited AI text remain challenges.
Why use them? To protect originality, block harmful content, support academic honesty, and comply with copyright rules. While limitations exist, AI detectors are rapidly improving and becoming a vital tool for digital safety.
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