PRESENTATION
There are two main aspects to the AI for academic publishing in use today: the algorithm, and the corpus. Somewhat surprisingly, most attention has been focused on algorithms, yet the corpus may be even more important, from the point of view of potential bias. There is already plenty of experience within the library at measuring the take-up and effect (and limitations) of digital tools. Using some real-life case studies, this presentation gives suggestions for assessing AI tools compared with current manual processes, and considers how use cases can help identify new ways of deploying AI.
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