This second session of the LouRIM Seminar Series on AI, entitled Responsible AI, follows the first session AI Tools for Research, which was met with great success. In this session, we will explore the challenges related to the responsible, critical, and thoughtful use of artificial intelligence in a research context.
During this 90-minute session, we will explore seven major pillars of AI-related risks. Each topic will be approached through a combination of theoretical explanations, real-world examples, interactive discussions, and, for some themes, games or participatory exercises.
Topics covered will include:
bias and discrimination,
reliability and hallucinations,
transparency and explainability,
privacy and personal data,
societal impacts,
overreliance on AI tools,
good practices for academic research.
The goal of this session is to provide participants with practical guidelines for using AI tools in a more informed and responsible way, while developing a critical understanding of their limitations and potential impacts. Please note that environmental aspects of artificial intelligence will not be covered during this session. This topic will be addressed in a future session of the series.
All resources related to the seminar series are available on the following GitHub repository: https://github.com/cvandekerckh/lourim-ai-seminar-series
