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This brief report draws on an analysis of 221,425 funded grant abstracts from three major science-funding agencies in two countries: the U.S. National Science Foundation (NSF), the U.S. National Institutes of Health (NIH), and UK Research and Innovation (UKRI).
This paper introduces the concept of “epistemic infrastructure” to capture AI’s role in constituting the conditions of possibility for thought, and proposes governance mechanisms calibrated to this infrastructural function.
This review paper provides a comprehensive overview of hallucinations in GAI and LLMs, and synthesizes a range of correction and mitigation techniques, from proactive measures during training to hybrid approaches that combine detection and intervention.
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