Explainable and Trustworthy AI Models for Data Analytics
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "Mathematics and Computer Science".
Deadline for manuscript submissions: 30 August 2024 | Viewed by 111
Special Issue Editor
Special Issue Information
Dear Colleagues,
I am pleased to announce a Special Issue of the journal Mathematics on "Explainable and Trustworthy AI Models for Data Analytics". This Special Issue aims to address the lack of transparency and interpretability in AI systems of data analysis. The Issue will explore the development of explainable artificial intelligence models that enhance our understanding of the decision-making processes behind AI predictions, thereby fostering trust and enabling effective utilization of AI in data analysis tasks. Topics of interest include explainable AI; trustworthy AI, data analytics; machine learning; explainable models; model trustworthiness; mathematical optimization and applications of explainable and trustworthy AI in various domains.
The Special Issue seeks to provide a platform for researchers to contribute to the advancement of AI models that are not only accurate and efficient but also transparent, interpretable, and accountable in the context of data analysis. Diverse perspectives and approaches are welcome to foster a comprehensive understanding of the challenges and opportunities in developing explainable and trustworthy AI models for data analysis.
Dr. Rajaraman Kanagasabai
Guest Editor
Manuscript Submission Information
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Keywords
- explainable AI
- trustworthy AI
- data analytics
- machine learning
- explainable models
- model trustworthiness
- mathematical optimization
