Please use this identifier to cite or link to this item: http://hdl.handle.net/11366/2569
Title: The power of generative AI for CRIS systems: a new paradigm for scientific information management
Authors: Guillaumet, Anna 
Andrés, Aurelia 
Keywords: research information management;current research information management;artificial intelligence;generative AI
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: 
This paper presents a comprehensive analysis of potential generative AI applications within CRIS systems, identifying key benefits such as improved data quality, advanced analysis and visualization capabilities, and enhanced decision-making support. However, the integration of AI also introduces challenges, including data quality assurance, architectural requirements, ethical considerations, and the need for transparency and trust in AI-generated outcomes.
Description: 
Extended abstract presented at the CRIS2024 conference in Vienna.-- Event programme available at https://cris2024.eurocris.org/#programme

32 slides.-- Presentation delivered within Session 5.1 "Artificial Intelligence" on Thu May 16th, 2024
URI: http://hdl.handle.net/11366/2569
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