The day, introduced by the Vice-Rector for Research, Carine Michiels, began with a keynote lecture on the central theme: "Can science be just data driven?", moderated by Professor Hugues Bersini of the Université libre de Bruxelles. This talk introduced thoughts on the ability of science to rely solely on data, while highlighting the need for a balanced approach between data and interpretation.
Several UNamur researchers then presented their work, demonstrating the diversity of AI applications in research. Presentations covered a variety of topics, such as the use of AI in economic history projects, illustrating its potential for transforming historical data into actionable knowledge. Other presentations explored innovation in photonics, modeling the collective behavior of organisms and the managerial implications of AI in the professional world.
Some speakers also discussed the ethical issues involved in using machine learning models in times of crisis, as well as the transparency and cost challenges faced by researchers in projects incorporating AI. These discussions highlighted the importance of carefully navigating this rapidly evolving ecosystem.
Concluding these presentations, another keynote lecture, moderated by Professor Betina Berendt of KU Leuven, addressed the ethical guidelines to be adopted when using AI in research. This talk was crucial in highlighting the importance of responsibility and critical reflection in this rapidly expanding field.
The Vice-Rector for Research particularly emphasized the importance of these exchanges in encouraging interdisciplinary collaboration, fostering an environment conducive to innovation and developing reflective thinking for the reasoned use of AI in research.
In short, the day highlighted not only the technological advances made possible by AI, but also the necessary reflections on its ethical and responsible use in research. UNamur continues to be actively involved in promoting this essential theme for the future of science.
