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vsi-XAI 2023 : Special Section on eXplainable Artificial Intelligence: Methods, Applications, Challenges in Computers & Electrical Engineering Journal, Elsevier | |||||||||||
Link: https://www.journals.elsevier.com/computers-and-electrical-engineering%20/call-for-papers/explainable-artificial-intelligence-xai-methods-applications-and-challenges-vsi-xai | |||||||||||
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Call For Papers | |||||||||||
Dear Professors/Researchers,
We welcome your submission to the special section on eXplainable Artificial Intelligence: Methods, Applications, & Challenges in Computers & Electrical Engineering Journal (Elsevier), which is Q1 Ranking (Non-paid) SCI Journal with Impact Factor 4.3. About the Special Issue: In various intelligent systems, understanding the reasons behind the decisions made is equally important as their performance or accuracy. The aim of this special section is to bridge the gap between the complexity of AI and human understanding by promoting the development and applications of explainable AI systems. It will be a platform for scientists, researchers, academicians, and practitioners to present their novel methods, exchange ideas, and discuss the possible applications and future challenges of XAI. This special section invites original research contributions case studies, and review articles to advance the explainability of AI systems. We encourage the researchers to submit their novel work on XAI on the following topics but not limited to: Explainability Techniques: Interpretable models and algorithms Rule-based and symbolic approaches Model-agnostic and post hoc explanations Visual explanations and interactive visualizations Natural language generation for explanations Evaluation and Metrics: Quantitative and qualitative evaluation of explainability Metrics for assessing transparency and interpretability User-centric evaluation of explanations Comparative studies of XAI methods XAI in Different AI Domains: XAI in computer vision and image recognition XAI in natural language processing and understanding XAI in recommender systems and decision support XAI in robotics and autonomous systems XAI in healthcare, finance, and other application domains Ethical and Legal Implications: Fairness, bias, and discrimination in XAI Privacy and security considerations in explainable models Legal frameworks and regulations for XAI deployment User trust, acceptance, and adoption of XAI systems SUBMISSION DEADLINE: 30.12.2023 SUBMISSION GUIDELINES: Original manuscripts adhering to the journal’s guidelines are invited for submission. Submissions must not be currently under review for publication elsewhere. The extended version of conference papers may be submitted only if they are substantially extended (more than 60%), and must be referenced. All submitted papers will be peer-reviewed using the normal standards of CAEE, and accepted based on quality, originality, novelty, and relevance to the theme of the special section. By submitting a paper to this issue, the authors agree to referee one paper (if asked) within the time frame of the special issue. Before submission, authors should carefully read the Guide for Authors available at https://www.elsevier.com/journals/computers-and-electrical-engineering/0045-7906/guide-for-authors Authors should submit their papers through the journal's web submission tool at https://www.editorialmanager.com/compeleceng/default.aspx by selecting “VSI-xai” under the “Issues” tab. For more details visit: https://www.journals.elsevier.com/computers-and-electrical-engineering%20/call-for-papers/explainable-artificial-intelligence-xai-methods-applications-and-challenges-vsi-xai |
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