4 citations · 4 across the 2 of their papers we have counts for
2 papers
cs.AI2026
Blind Refusal: Language Models Refuse to Help Users Evade Unjust, Absurd, and Illegitimate Rules
Cameron Pattison, Lorenzo Manuali, Seth Lazar
Safety-trained language models routinely refuse requests for help circumventing rules. But not all rules deserve compliance. When users ask for help evading rules imposed by an ill…
cs.CY2024★ 4 cited
Can LLMs advance democratic values?
Seth Lazar, Lorenzo Manuali
LLMs are among the most advanced tools ever devised for understanding and generating natural language. Democratic deliberation and decision-making involve, at several distinct stag…