International Conference on Explainable AI in Engineering ICEAIE

Call For Papers

The ICEAIE bridges the gap between academia and industry by promoting research with practical applications. It provides a platform for professionals and researchers to share insights that drive real-world impact.

The conference focuses on Data Science , encouraging applied research, case studies, and industry-driven innovations.

Authors are invited to submit papers addressing, but not limited to, the following areas:

Explainable AI techniques in engineering

Transparency in machine learning models

Data-driven decision making with AI

User trust in AI systems

Ethical considerations in AI applications

Real-world applications of explainable AI

Impact of explainability on engineering outcomes

Data visualization for AI insights

Collaborative AI systems in engineering

Future trends in explainable AI

Data management for AI transparency

User engagement through explainable AI

Explainability in predictive maintenance

NLP applications for explainable AI

Data ethics in AI engineering applications

Case studies of explainable AI in practice

Integration of explainable AI in workflows

Data-driven insights for AI model improvement

User experience enhancements through explainability

Challenges in implementing explainable AI

Submissions will be evaluated based on applicability, innovation, and research contribution. Accepted papers will be presented and considered for publication in reputed journals and conference proceedings.

Registration

Complete your registration to participate in discussions that bridge academia and industry, and gain exposure to practical insights.

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Publication

Selected papers will be considered for publication platforms that support academic and industry collaboration.

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Hybrid Event