Alessandra Mileo 

Date/Time: 11.06.2025, 12:15 

Location: D2.2.094 

Abstract 

Neuro-Symbolic AI is becoming a fast-growing area of research. However, there is still a lot of potential for leveraging neuro-symbolic approaches to address the need for explainability and confidence. These are key requirements when it comes to using AI to support human experts in high-stake decision making. In this talk I will discuss how Deep Representations, Knowledge Graphs, Cognitive Reasoning and Human Experts can be used as key ingredients in the design of a Neuro-Symbolic cycle for human-centred explainability. I will discuss challenges in the design of such a cycle as well as opportunities for the adoption of Neuro-Symbolic AI in real world scenarios. 

Bio 

Alessandra Mileo is Associate Professor in the School of Computing, Dublin City University. She is also a Principal Investigator in the Research Ireland Centre for Data Analytics and Funded Investigator in the Advanced Manufacturing Research Centre, and a Fellow of the Higher Education Academy (FHEA). Dr. Mileo has secured over 1.5 million euros in funding including national, international (EU, NSF) and industry-funded projects, publishing 100+ papers and is an active PC member of over 20 conferences and journals. Dr. Mileo is a member of the European AI alliance, the Italian Association for AI (AIIA), AAAI, the Association of Logic Programing (ALP) and a Steering Committee member of the Web Reasoning and Rule Systems Association (RRA) since 2015. Her current research agenda is focused on Explainable Artificial Intelligence, specifically leveraging Neuro-Symbolic Learning and Reasoning as well as Knowledge Graphs to support high-stake Decision Making. Dr. Mileo has recently been awarded the national Frontiers for the Future Project grant from Research Ireland: this independent 4-years grant aims to fund high-risk and high-reward research and will allow her to develop novel explainable and human-centered neuro-symbolic AI approaches in diagnostic imaging.