----------------------------------------------------------------------------------
@MSGID:
<b11f3360-9029-4bfd-acb0-3d6a3c02c071n@googlegroups.com> bc3cddaa
@REPLYADDR Antonio Luca Alfeo
<alfeo.luca@gmail.com>
@REPLYTO 2:5075/128 Antonio Luca Alfeo
@CHRS: CP866 2
@RFC: 1 0
@RFC-Message-ID:
<b11f3360-9029-4bfd-acb0-3d6a3c02c071n@googlegroups.com>
@TZUTC: 0300
@PID: G2/1.0
@TID: FIDOGATE-5.12-ge4e8b94
Dear colleague, I`m excited to announce that the Special Issue "Granular
Computing for Explainable Artificial Intelligence" is now active and
ready to accept submissions (deadline November 2023).
More details at
https://www.springer.com/journal/12559/updates/25931758
Explainable artificial intelligence (XAI) allows domain experts to
understand the reasoning of AI models and validate their outcomes. This
allows employing such outcomes in real-world decision-making processes.
In this regard, XAI approaches can employ information granulation
approaches to aggregate the data instances hierarchically and/or
semantically to provide aggregated and human-understandable
explanations; represent data instances in a semantically organized
manner (e.g. via clustering) to find class prototypes or
counterfactuals; 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 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.)
Submit your contribution at
http://www.editorialmanager.com/cogn/ by
selecting b
Intelligenceb
Feel free to reach me if you have any questions. Thank you for your
contribution. Best regards, Antonio Luca Alfeo
--- G2/1.0
* Origin: PANIX Public Access Internet and UNIX, NYC (2:5075/128)
SEEN-BY: 5001/100 5005/49 5015/255 5019/40 5020/715
848 1042 4441 12000
SEEN-BY: 5030/49 1081 5075/128
@PATH: 5075/128 5020/1042 4441