Large Language Models and the Environment: Open Problems and Potential Solutions

Abstract

We concisely review the history of large language models in the business context, and then examine some of the problems that this technology brings when applied to generative AI, notably from an environmental perspective. We highlight the implications and impacts of these problems in different communities locally and globally, and suggest possible solutions, mostly advocating for more international regulations. We urge caution with the widespread application of the technology, given the potential for negative impact, especially affecting marginalized populations and the Global South.

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