Talks by E. Kubyshkina and G. Primiero at the workshop “Of People and Code”


Centre for Philosophy of Sciences of the University of Lisbon Of People and Code – Epistemological, Ontological, and Formal Approaches to AI  28 November 2024  This workshop aims to explore crucial issues raised by contemporary computational models and methods in AI. The focus will be on fostering discussions about the epistemological, ontological, and formal considerations, […]

Project ReDa (Reasoning with Data) launch!


Data abounds and our ability to process it algorithmically is unprecedented. This opens up to exciting prospects for scientific and technological advance which were unimaginable only two decades ago. Data-intensive and AI-driven methods are therefore likely to shape a significant proportion of science in the decades to come. This requires us to rethink the very […]

MIRAI (Milano Responsible AI) takes off!


We are excited to announce that our department is supporting MIRAI (Milano Responsible AI), its first spin-off! MIRAI is a platform for Responsible AI solutions and is a startup born from the results of the PRIN BRIO research project, funded by the MUR and led by Prof. Giuseppe Primiero. The project investigates the logical, epistemological […]

MA and BA Thesis Discussions in February


This February four of our students will discuss their MA and BA theses, written under the supervision of the professors from the LUCI lab. Check out their abstracts! Morphogenesis – Complex Systems Modeling within the Debate on the Structure of Evolutionary Theory MA thesis by Elena Bastia The rise of complexity sciences has shed light […]

Giuseppe Primiero @ KR


Giuseppe Primiero gave an invited talk on ”Trustworthiness Ranking with Uncertain Information” at the Graphical Reasoning with Imperfect Data (GRID) workshop [https://wordpress.com/page/jlandes.wordpress.com/1212] organised by Jürgen Landes, which was held at 20th International Conference on Principles of Knowledge Representation and Reasoning (KR2023) [https://kr.org/KR2023/].