[CfP] (Special Session @ IPMU 2022) MIIXAI: Managing Imprecise Information for XAI

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Corrado Mencar

Nov 24, 2021, 12:24:07 PM (7 days ago) Nov 24
to Machine Learning News
(apologies for cross postings)

People have an exceptional ability in managing imprecise information in forms that are well captured by several theories within the Granular Computing paradigm, such as Fuzzy Set Theory, Rough Set Theory, Interval Computing and hybrid theories among others. Endowing XAI systems with the ability of dealing with the many forms of imprecision, is therefore a key challenge that can push forward current XAI technologies towards more trustworthy systems based on imprecise information (II) and full collaborative intelligence. The Special Session will gather recent advancements in topics like foundational, theoretical and methodological aspects of imprecision management in XAI, new technologies for representing and processing imprecision in XAI systems, as well as real-world applications that demonstrate explainability improvements through imprecision management.

Topics include but are not limited to:

- Design of explainable II-based systems
- Evaluation of explainability in models for II
- Hybrid systems dealing with different forms of imprecision
- Successful applications of explainable II-based systems
- Induction of explainable models from II
- Theoretical aspects of explainability in II-based systems

Important dates:

-    Submission of Full Papers: Friday, 14 January 2022
-    Notification of Acceptance: Tuesday, 1 March 2022
-    Camera-ready Submission: Friday, 15 April 2022
-    Conference: 11-15 July 2022, Milan, Italy

Submission instructions and more information at IPMU website: https://ipmu2022.disco.unimib.it/

-   Dario Malchiodi, Dept. of Computer Science, Università degli Studi di Milano, Italy, dario.m...@unimi.it
-   Corrado Mencar, Dept. of Computer Science, University of Bari Aldo Moro, Italy, corrado...@uniba.it
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