
In response to the technical, legal, and philosophical challenges posed by of the use of institutional repository collections by generative AI, the Bodleian Libraries at the University of Oxford have begun work developing a position and policy to articulate the issues we and other GLAM institutions face, and to describe positively to members of our community and external audiences how we wish our collections to be used. As one of the first pieces of work towards this, we surveyed the policy and guidance landscape across the GLAM and publishing sector, to understand and learn from steps others have taken – and to see the questions that they might also have but don’t have answers to. In this lightning talk, we will describe our approach to this work, summarise our findings, and outline how we have shaped the questions that we plan to address in our position and policy. We’ll then update colleagues about how we plan to take this work forward, to address the actual and perceived risks for our researchers, staff, and us as a library service.
Policy, Lightning Talk, AI, Curation challenges and opportunities from Artificial Intelligence and Machine Learning, Work on the costs and benefits of curation, Open Collections, Repositories, Large-scale curation service delivery
Policy, Lightning Talk, AI, Curation challenges and opportunities from Artificial Intelligence and Machine Learning, Work on the costs and benefits of curation, Open Collections, Repositories, Large-scale curation service delivery
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| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
