Explainable AI (XAI) Techniques and Explanations: Images and Tabular Data

Giovedì 30 Ottobre 2025 15:45

Thursday, 30 October 2025, at 15:45, Room P2.1, Building MO25, Dipartimento di Ingegneria “Enzo Ferrari”, Via Vivarelli 10, 41125 Modena

Prof. Natalia Díaz Rodríguez will give a lecture with the title "Explainable AI (XAI) Techniques and Explanations: Images and Tabular Data". The lecture will contain technical aspects, but is open to all interested people. The seminar will be held in English.

Abstract:

This course will present several taxonomies regarding concepts and methodologies for XAI, in particular it will focus on model agnostic techniques and techniques for explaining image-based machine learning models. It will point out as well to practical toolkits and tutorials further dealing with concrete techniques according to different data types and diverse explanation audiences.

Short bio:

Natalia Díaz Rodríguez has a double PhD from University of Granada (Spain) and Åbo Akademi University (Finland) and is associate professor at the DaSCI Andalusian Research Institute in data science and computational intelligence (DaSCI.es) at the Dept. of Computer Science and AI of the University of Granada (Spain) since 2024. Earlier, she was Marie Curie postdoctoral researcher; and Prof. of at the Autonomous Systems and Robotics Lab at ENSTA, Institut Polytechnique Paris, INRIA Flowers team on developmental robotics, and worked on open-ended learning and continual/lifelong learning for applications in computer vision and robotics. She has worked in industry, academia and governmental institutions in Silicon Valley, CERN, Philips Research, University of California Santa Cruz and NASA.   She cofounded the non-profit ContinualAI.org and worked doing Responsible AI Governance industry assessments and writing the guidelines for the regulatory sandbox pilot of the AI Act for the Spanish Secretary of Estate. She received multiple prizes (among others, from the Royal Academy of Engineering to Young Research Scientists) and since 2024 is listed in the «Ranking of the World’s Top 2% Scientists» from Stanford University (California) that identifies the most relevant scientists in the world according to the impact of their publications' citations.

This is an event sponsored by Regione Emilia Romagna with the Operazione “Seminari su temi avanzati di Intelligenza Artificiale” (Rif. P.A. 2024-23126/RER, progetto 1), approvato con DGR n. 1964/2024: AZIONE 2. CUP E93C24001700002. 

Autore: Costantino GRANA - Ultima modifica: Venerdì 24 Ottobre 2025 10:37