Tag
一篇观点性文章，主张计算机程序本身无法做决定，因此把 LLM 造成的不良后果归咎于 AI 模型是“决策甩锅”（decision laundering）；真正应担责的是 OpenAI、Anthropic 等公司及其做出的主动选择，以及为其付费的用户。作者呼吁对这些公司进行追责与立法监管。
A physicist shares three core rules for using AI tools like large language models, to ensure they enhance learning without compromising personal cognitive abilities, drawing an analogy to the use of chess engines.
Columbia and Northwestern researchers propose a pipeline to surface race and gender bias in LLM abstractive summaries of life-story interviews, showing representational harm risks.