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Event Start July 2, 2026 10:00 am |
Event End July 2, 2026 12:30 pm |
Booking closes June 29, 2026 5:00 pm |
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Location Online via Teams |
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This session will run on Teams. Your booking will be confirmed via Ticket Tailor.
ALN/the hosts will send joining instructions the day before the event, at the latest, via email/calendar appointment – please check your inbox nearer to the event.
This is the plan for the morning:
Programme
10.00-10.05 – Intro and welcome (5 mins)
10.05-10.20 – AI in Content Discovery – Behind the scenes between the prompt and outputs – Lee Blyth, Northumbria University (15 mins)
A breakdown of how a current AI research tool identifies relevant content and provides generated responses to natural language research questions. The session aims to demystify the prompt-to-results process and provide some context as to why these outputs may at times appear unfocussed and vague to library staff. The session will also touch upon new developments for AI in discovery and research workflows that have the potential to re-shape how end users discover and work with scholarly content.
10.20-10.25 – Q&A (5 mins)
10.25-10.40 – GenAI and Copyright for Libraries – Neil Sprunt, University of Manchester; Louise Koch, Manchester Metropolitan University; Liesl Rowe, Leeds Beckett University (15 mins)
An overview of the copyright challenges facing libraries and the HE sector around GenAI. Reflecting on how guidance and support in this area is currently being delivered by our institutions, sharing strategic insights and community best practice, and looking at what the future may hold, including any possible legislative developments.
10.40-10.45 – Q&A (5 mins)
10.45-11.00 – AI for Accessibility: trends, opportunities and risks – Alice Bennett, University of York (15 mins)
Not only are generative AI features being added to more digital tools throughout higher education, but they are also often heavily marketed towards disabled and neurodivergent students with promises of improved accessible experience. Whilst AI and automated tools have potential to support accessibility, there are also dangers. This short paper asks questions of this growing trend – will disabled users be pushed towards AI tools in place of being supplied with digitally accessible resources? Can use of generative AI tools put disabled students at risk? – and considers the wider implications of this increased use of generative AI in addressing accessibility.
11.00-11.05 – Q&A (5 mins)
11.05-11.15 – Break 10 mins
11.15-11.30 – GenAI and Digital Skills – a student perspective – Georgia Gray and Neil Sprunt, University of Manchester (15 mins)
Members of the University of Manchester Library’s student team will talk about the work they are doing around digital skills development, how that connects to wider work happening in the Library and providing a student perspective on AI use in general, from academic integrity and good practice to ethical considerations.
11.30-11.35 – Q&A (5 mins)
11.35-11.50 – From Reactive to Proactive: How the Library Service can Support Ethical and Effective Generative AI Use – Chloe Bolsover, Dominika Smithson, Sandy Buchanan and Susannah Diamond, Sheffield Hallam University (15 mins)
Responding in 2024 to advances in Generative AI (GenAI), the Library at Sheffield Hallam University has provided guidance to students, academic teaching staff and researchers about effective and ethical use of GenAI. This talk will summarise the steps taken so far in providing online guidance and some workshop content, with recent updates relating to academic integrity, referencing, use statements, research ethics, and critical thinking. We will conclude by highlighting the realistic limits to library guidance, indicating our position within the ecosystem of university decision making, and outlining plans for the future.
11.50-11.55 – Q&A (5 mins)
11.55-12.25 – Panel / Q&A (30 mins)
12.25-12.30 – Wrap and close