2024 Activity Report — Orpailleur Team (LORIA) : Knowledge Discovery and Knowledge Engineering
Abstract
The Orpailleur Team has always advocated for ``Knowledge Discovery guided by Domain Knowledge'', a research line which gained a role of paramount importance in ML and Artificial Intelligence (AI). In particular, the recent seminal paper on ``Interpretable Machine Learning'' lists 10 grand challenges in ML. In these challenges, it can be noticed that knowledge integration in ML is a basic ingredient quite everywhere, while emerging topics are materialized by analogy based reasoning, explainable and trustworthy ML & AI models, in particular, topics pertaining to algorithmic complexity and fairness. These are all represented in the Orpailleur's research program of 2024.
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