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Outlier detection

Also known as: Anomaly detection, Novelty detection

An algorithmic technique that identifies data points or behaviors that deviate significantly from expected patterns, used in fraud detection, quality assurance, CAPTCHAs, and crowd labor platforms. People with disabilities are disproportionately flagged as outliers because atypical interaction patterns — slower task completion, unusual input methods, uncommon navigation behaviors — are statistically uncommon, leading to false fraud flags, blocked accounts, or rejected work.

Category: artificial intelligence · algorithms · accessibility barriers

Related: Algorithmic bias · AI contestability · Ability-based design

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