Avviso Seminari nell'ambito del corso  Explainable AI

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Tuesday February 8, from 4:00-6:00 PM in Sala Azzurra (Palazzo Carovana)


Within the course Explainable AI, Prof. Francesca Toni (Professor in Computational Logic and Royal Academy of Engineering/JP Morgan Research Chair on Argumentation-based Interactive Explainable AI at the Department of Computing, Imperial College London, UK) will give a seminar on "Explaining  with argumentationIt".


Abstract: Explaining  with argumentationIt is widely acknowledged that transparency of automated decision making is crucial for deployability of intelligent systems, and explaining the reasons why some outputs are computed  is a way to achieve this transparency. The form that explanations should take, however, is much less clear. In this talk I will explore two classes of explanations, which I call 'lean' and 'mechanistic': the former focus on the inputs contributing to decisions given in output; the latter reflect instead the internal functioning of the  automated decision making fed with the inputs and computing those outputs. I will show how both classes of explanations can be supported by forms of computational argumentation, and will describe forms of argumentative XAI in several settings, including multi-attribute decision making and machine learning.
Thuresday February 10, from 4:00-6:00 PM in Aula Bianchi Scienze (Palazzo Carovana)
Within the course Explainable AI, Prof. Andrea Omicini: (Department of Computer Science Univ. Bologna) will give a seminar on  
“Explaining by design - On the integration of symbolic and sub-symbolic” 

Link for on-line participation: 

I seminari si terranno sia in modalità blended. Gli utenti esterni che vorranno partecipare in presenza sono invitati a inviare all'indirizzo classi@sns.it un messaggio entro le ore 14:00 di Martedì 8 febbraio 2022.
Classe di scienze
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Fosca Giannotti
Scuola Normale Superiore - Pisa - Italy
KDD Lab. - ISTI -  CNR Pisa - Italy,
P.I. ERC AG XAI: Science and technology for the eXplanation of AI decision making https://xai-project.eu/
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