Workplace AI

Business professional examining an AI system and preparing to correct an automated error.

AI Human Oversight: What Happens When People Must Fix AI Mistakes?

AI human oversight is becoming an increasingly important issue as businesses allow artificial intelligence to handle more analysis, decisions and operational tasks. AI can help employees process information faster, automate repetitive work and improve productivity. However, when an automated system makes a mistake or encounters a situation it cannot handle, someone may still need to […]

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ai gender bias womens language workplace prompts a gramophone with a flared horn on a square box body

AI Might Be Making Women Sound Bad at Work

Johns Hopkins researchers took 427 real workplace writing prompts, rewrote each into a women-associated and a men-associated version, and ran both through GPT-4, Llama, Mistral and Gemma. Every model returned shorter, plainer, less formal documents for the women-coded phrasing. Adding a male or female sign-off name changed nothing. Linear probes decode the linguistic register at 0.988 accuracy by layer 5 while name gender reaches only 0.717, and activation patching puts the causal weight in layers 0 to 7. This article covers the method, the per-model results, the two controls that rule out mirroring, and why the authors say users cannot fix it themselves.

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