Safety training can launder gender discrimination into subtler forms, study finds

Analysis of 450,000 GPT-model completions shows explicit toxicity falling while representational harm grows, evading standard classifiers.

Industry
Sarah Wyer · Sue Black · Noura Al Moubayed

Durham University

Research Digest··3 min read
Researchers at Durham University analysed 450,000 gender-directed text completions from 15 GPT models (GPT‑2 through GPT‑5) and found that safety training reduces overtly toxic language but transforms discrimination into subtler, non‑toxic biases.

The authors collected 450,000 sentence completions from 15 OpenAI GPT models (GPT‑2 to GPT‑5) using prompts that directed each model to complete sentences about women or about men (three demographic conditions).

Why this paper

From Durham University

In one line

Gender discrimination in GPT models is transformed into subtler forms rather than removed by safety training.

What we could check

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