Algorithms in the room: AI, representation, and decisions about sustainable futures
批判了生成式AI（如大语言模型）能帮助西方政商精英在可持续发展决策中考虑弱势群体观点的乐观看法，区分了“被忽略但未被反对”和“被反对”两类代表缺失，并分析了AI在其中的机遇与风险。
This article considers the role of generative AI technologies, such as large language models (LLMs), in promoting the views of underrepresented groups. We are specifically concerned with the role AI could play in encouraging powerful decision-makers—often leading politicians and businesspeople in Western nations—to consider the perspectives of underrepresented groups when making decisions about sustainable development. Some suggest generative AI could offer decision-makers perspectives they had previously not considered, leading to more equitable and innovative policy approaches, and supporting several of the United Nations' Sustainable Development Goals (SDGs). We critique this perspective. Groups may be underrepresented in sustainable development decision-making because of individual cognitive and organisational information-processing limitations (‘ omitted, but not opposed ’), and because of opposition which remains even if these limitations are overcome (‘ opposed, whether omitted or not ’). We outline how these ‘categories of omission’ shape the opportunities and risks created by generative AI in representative sustainability.