Katie Fraser
AI and discovery: Our experience at UoN Libraries
Fraser, Katie
Authors
Contributors
Ken Chad
Other
Abstract
This presentation explores the real-life application of AI-driven discovery in two settings - healthcare and a university library. It will describe an innovative project to explore the potential of artificial intelligence to improve knowledge discovery in a library services context. It brings to life the voices of real users - students, researchers, clinicians and academics as they describe the ‘problems' they need to solve in a context of resource discovery. It tests assumptions about the potential benefits or ‘value propositions’ of AI in discovery, against real world user issues and suggests the areas where an AI worked best and where it was less successful. Libraries looking to understand how AI might improve discovery will benefit greatly from this real life practical project with its emphasis on the user experience.
These slides cover Part 2 of the session, focused on a university library. Part 1 is linked to under Additional Information.
Citation
Fraser, K. (2021, May). AI and discovery: Our experience at UoN Libraries. Presented at Society for Scholarly Publishing (SSP) Annual Meeting, Online
Presentation Conference Type | Other |
---|---|
Conference Name | Society for Scholarly Publishing (SSP) Annual Meeting |
Start Date | May 27, 2021 |
End Date | May 29, 2021 |
Deposit Date | Dec 17, 2021 |
Publicly Available Date | Jan 21, 2022 |
Public URL | https://nottingham-repository.worktribe.com/output/7022857 |
Publisher URL | https://ondemand.sspnet.org/Title/949f7281-cfb1-4641-b6ab-52a4e45cd0f7 |
Additional Information | These slides cover AI and Discovery Part 2. AI and Library Discovery Part I was presented by Ken Chad of Ken Chad Consulting whose slides can be accessed at https://www.kenchadconsulting.com/wp-content/uploads/2021/05/AI_and_discovery_KenChad_SSP_May2021.pdf. A recording of the full joint presentation is available to subscribers via the SSP website. |
Files
AI and Discovery KF SSP May2021
(1.1 Mb)
PDF
Downloadable Citations
About Repository@Nottingham
Administrator e-mail: discovery-access-systems@nottingham.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search