Dear colleague, I'm excited to announce that the Special Issue "Granular Computing for Explainable Artificial Intelligence" is ready to accept submissions (deadline: end of November 2023). Submit your contribution
at http://www.editorialmanager.com/cogn/ by selecting “SI: Granular
Computing for Explainable Artificial Intelligence” for the special issue under "Additional Information."


This special issue is dedicated to XAI methods that employ information granulation approaches to (i) aggregate the data instances
hierarchically and/or semantically to provide aggregated and human- understandable explanations; (ii) represent data instances in a
semantically organized manner (e.g. via clustering) to find class
prototypes or counterfactuals; (iii) employ symbolic or neuro-symbolic
modeling to isolate portions of neural networks that are activated by
specific symbols (e.g. handwritten symbols can be recognized as groups
of strokes); and (iv) obtain semantically relevant information granules
(e.g. via representation learning) to be employed as concepts for
building the explanations. The topics of interest include, but are not
limited to:

- Intrinsically explainable granular approaches
- Information granulation approaches with explainable semantic
- Concept-based representation learning
- Natural Language Explanation
- Evaluative AI
- XAI for Fairness
- Granular Approaches to explain Latent Representations
- Clustering approaches to find prototypes, factual and counterfactual
explanations
- Symbolic and neuro-symbolic modeling for XAI
- Granular model (explanation, interpretation, visualization) for
decision augmentation and automation
- Application of granular XAI (healthcare, social media, multiagent
systems, predictive process monitoring, etc.)

More details at https://www.springer.com/journal/12559/updates/25931758


Feel free to reach me if you have any further questions. Thank you for
your contribution. Best regards, Antonio Luca Alfeo

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