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Opening a conversation on responsible environmental data science in the age of large language models | Environmental Data Science | Cambridge Core

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22 August 2024: Due to technical disruption, we are experiencing some delays to publication. We are working to restore services and apologise for the inconvenience. For further updates please visit our website: https://www.cambridge.org/universitypress/about-us/news-and-blogs/cambridge-university-press-publishing-update-following-technical-disruption We use cookies to distinguish you from other users and to provide you with a better experience on our websites. Close this message to accept cookies or find out how to manage your cookie settings. Published online by Cambridge University Press:  09 May 2024 The general public and scientific community alike are abuzz over the release of ChatGPT and GPT-4. Among many concerns being raised about the emergence and widespread use of tools based on large language models (LLMs) is the potential for them to propagate biases and inequities. We hope to open a conversation within the environmental data science community to encourage the circumspect a

Opening a conversation on responsible environmental data science in the age of large language models | Environmental Data Science | Cambridge Core Search Institution Login Search Hostname: page-component-5db58dd55d-xnzfm Total loading time: 0 Render date: 2026-06-18T18:16:39.285Z Has data issue: false hasContentIssue false Home > Journals > Environmental Data Science > Volume 3 > Opening a conversation on responsible environmental... English Français Environmental Data Science Article contents Abstract Impact Statement Introduction How do LLMs work? What are the current concerns with LLMs? How

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