AI Summary: A recent study published in *Philosophy & Technology* examines the phenomenon of human users "hallucinating" alongside generative AI systems, rather than solely attributing errors to the AI itself. The research emphasizes the interactive nature of AI-generated misinformation and how users may misinterpret or accept these inaccuracies as truth. This perspective shifts the focus from AI's limitations to the cognitive processes of users engaging with AI outputs.
Resource: Extracting Keywords from Crowdsourced Collections Project
AI Summary: The project "Extracting Keywords from Crowdsourced Collections," funded by a Digital Scholarship @ Oxford Research Development Grant, investigated the application of Natural Language Processing (NLP) methods to automate keyword extraction from the Their Finest Hour Online Archive, which contains over 2,000 records related to the Second World War. The research aimed to challenge the traditional manual keyword assignment process, which can be resource-intensive and may perpetuate biases, by allowing digital collection records to generate their own keyword tags. This approach seeks to enhance search and discovery while adhering to FAIR data principles, particularly in the context of crowdsourced collections of personal histories. The findings highlight the potential for NLP to democratize metadata creation and reshape historical representations.