ArticleAmbio2026
Making water knowledge with Artificial Intelligence: A qualitative study of expert interviews on water diplomacy.
Article in Ambio, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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2 authors.
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Abstract
Water knowledge, understanding the current and future availability and needs of water, has been critical in negotiating international water disputes. Drawing from expert interviews, this article examines how Artificial Intelligence (AI) tools influence knowledge production and exchange in water diplomacy. The findings suggest that technical strides from AI technologies can enhance data and information objectivity and social learning, potentially benefiting water negotiations and consensus building. However, without addressing political and human challenges, AI tools can exacerbate the risk of eroding trust and spreading dis- and mis-information about politically sensitive water issues. The malicious use of AI poses a serious risk, as negotiators may face increased pressure from public opinion, potentially undermining cooperative progress and escalating tensions over water.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.