Category: AI Detection & Evaluation

Covers how AI content detection and classification systems work, including their methodologies, limitations, and common failure modes. Articles focus on understanding detection outcomes rather than promoting enforcement or guarantees.

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AI Detection & Evaluation

When Detection Gets It Wrong: Understanding False Positives and Bias in AI Classification

How AI detection systems may misclassify content, why certain populations face higher false positive risks, and how to think about detection results responsibly.

Mallory

March 4, 2026

AI Detection & Evaluation

The Risks of Blind AI Detection: False Positives, Bias, and Overreach

Examining the real-world consequences when AI detection systems are applied without nuance — from wrongly accused students to systemic bias against non-native writers.

Mallory

February 6, 2026

AI Detection & Evaluation

How AI Detection Works (Without the Marketing Hype)

A clear, honest explanation of how AI content detection systems actually work, their real capabilities, and why no detector achieves perfect accuracy.

Mallory

February 6, 2026