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AI Shaming

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

TL;DR. Accusing someone's work of being machine-written — an insinuation that has become a classist slur in knowledge work.

Technical Definition

Accusing someone's work of being machine-written — an insinuation that has become a classist slur in knowledge work.

How it works

From a 2026 paper subtitled 'Birth of a Classist Slur in Knowledge Work', AI shaming is the social sanction that follows AI suspicion: comments like 'this reads like ChatGPT' attached to memos, essays and pull requests, implying the author cut corners. The practice is both a symptom and a trap — much accused text is entirely human, detectors don't work, and the accusation falls hardest on non-native speakers and junior staff whose prose is most template-like. By late 2026 style guides and team norms had started to push back: judge the content, ask before accusing, and remember that 'helped by AI' describes most professional writing the way 'helped by spellcheck' once did. AI shaming completes the slang trio — suspicion, slap, shaming — that names the social friction of the AI-literate workplace.

Related Concepts

• Meat Proxy — A person who forwards AI-generated text, code or output without reading, understanding or validating it.
• AI Slap — Forwarding AI-generated text without reading it — the sending action of a meat proxy.
• AI Suspicion — The nagging feeling that a piece of writing was generated by AI — also joked about as 'AI-dar' or the 'Turing tingle'.
• AI slop — AI slop is low-quality, high-volume output generated by AI systems, prioritizing quantity over usefulness.