Under the joint heading Perspectives on Humanities-Centred AI (CHAI 2025) and Formal & Cognitive Reasoning (FCR-2025), the two workshops CHAI and FCR were organised together for the first time. The joint event brought into dialogue two complementary perspectives on artificial intelligence (AI). On the one hand, CHAI explored how AI, as the science of agents acting in the world, can support research in the Humanities by enhancing efficiency and effectiveness. With a Humanities-centred approach, AI methods can be tailored to the specific challenges of interpreting cultural traditions, working with written artefacts, and applying techniques such as text mining and linguistic analysis in ways that optimize human–machine interaction. On the other hand, FCR addressed issues of reasoning under uncertainty and change, emphasizing the need for non-classical systems to capture both real-life Large Language Model (LLM)-based applications and the characteristics of human reasoning. Topics included incomplete knowledge, inconsistent beliefs, and diverse reasoning mechanisms such as analogical and defeasible reasoning, as well as their integration with machine learning approaches. This volume contains the accepted contributions and corresponding presentations from the joint workshop.
Melzer et al. (Wed,) studied this question.