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Title: | The Good, the Bad and the AI: the New Frontier of Research Management | Authors: | Gurney, Thomas | Keywords: | research information management;current research information systems;artificial intelligence;data quality;generative AI;ChatGPT;large language models | Issue Date: | 16-May-2024 | Publisher: | euroCRIS | Series/Report no.: | CRIS2024: 16th International Conference on Current Research Information Systems (Vienna, Austria, May 15-17, 2024) | Conference: | CRIS2024 – Vienna | Abstract: | Generative AI (GenAI) has introduced a plethora of opportunities and, as more is known about how Large Language Models (LLMs) work, forced the world of research management to consider its utility and limitations. Positive benefits including content generation and enrichment, curation and classification, and generalised efficiency gains, need to be balanced against concerns for data integrity and quality, security and privacy and a potential over-reliance on automation. |
Description: | Extended abstract presented at the CRIS2024 conference in Vienna.-- Event programme available at https://cris2024.eurocris.org/#programme 20 slides.-- Presentation delivered within Session 5.1 "Artificial Intelligence" on Thu May 16th, 2024 |
URI: | http://hdl.handle.net/11366/2567 |
Appears in Collections: | Conference |
Files in This Item:
File | Description | Size | Format | |
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Gurney_CRIS2024_The-good-the-bad-and-the-AI.pdf | Extended abstract (PDF) | 217.75 kB | Adobe PDF | View/Open |
Gurney_CRIS2024_slides_The-good-the-bad-and-the-AI.pdf | Presentation (PDF) | 1.47 MB | Adobe PDF | View/Open |
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