3 papers
cs.IR2026
"I Don't Know" -- Towards Appropriate Trust with Certainty-Aware Retrieval Augmented Generation
Daan Di Scala, Maaike de Boer, Pınar Yolum
Achieving the right amount of trust in AI systems is important, but challenging. The problem is exacerbated with the rise of Large Language Models (LLMs) as they provide human-leve…
cs.AI2025
Bridging the AI Trustworthiness Gap between Functions and Norms
Daan Di Scala, Sophie Lathouwers, Michael van Bekkum
Trustworthy Artificial Intelligence (TAI) is gaining traction due to regulations and functional benefits. While Functional TAI (FTAI) focuses on how to implement trustworthy system…
cs.AI2025
Ontology Learning with LLMs: A Benchmark Study on Axiom Identification
Roos M. Bakker, Daan L. Di Scala, Maaike H. T. de Boer +1
Ontologies are an important tool for structuring domain knowledge, but their development is a complex task that requires significant modelling and domain expertise. Ontology learni…