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AI Suspicion

Visual diagram · (in preparation) · Math · (in preparation) · Worked example · 3 difficulty levels.

TL;DR. The nagging feeling that a piece of writing was generated by AI — also joked about as 'AI-dar' or the 'Turing tingle'.

Technical Definition

The nagging feeling that a piece of writing was generated by AI — also joked about as 'AI-dar' or the 'Turing tingle'.

How it works

AI suspicion is the human detection layer that emerged as generative writing saturated everyday communication: readers pattern-match on telltale rhythm, hedging, the em dash, 'not X but Y' constructions, and prose that is fluent but oddly frictionless. The term was codified in the October 2026 Etzioni–Weld glossary, and its close cousin 'AI shaming' names what happens when suspicion goes public — an accusation that now functions as a classist slur in knowledge work, since polished prose gets policed hardest. Its significance is practical: detectors remain unreliable, so suspicion runs on vibes, and the burden has shifted onto writers (human or not) to signal effort, cite sources and keep drafts reviewable. Suspicion is cheap; proof is hard — that asymmetry now shapes how careful teams communicate.

Related Concepts

• AI Slap — Forwarding AI-generated text without reading it — the sending action of a meat proxy.
• AI Shaming — Accusing someone's work of being machine-written — an insinuation that has become a classist slur in knowledge work.
• Hallucination — When an AI model generates confident, plausible-sounding content that is factually incorrect or fabricated.
• AI slop — AI slop is low-quality, high-volume output generated by AI systems, prioritizing quantity over usefulness.