Flex Conference (Physical / Digital)

International Conference on Explainable AI in Engineering - (ICEAIE-26)

17th - 18th October 2026 , Caracas - Venezuela

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Call For Papers

The (ICEAIE-26) emphasizes interdisciplinary collaboration by bringing together experts from diverse fields. It encourages research that integrates multiple perspectives to address complex global challenges.

Key areas such as Data Science are explored to promote cross-domain knowledge exchange and collaborative innovation.

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

Assessment

All submissions will undergo peer review to ensure quality and interdisciplinary relevance. Accepted papers will be presented and considered for publication in journals and conference proceedings.

Registration

Registering for the conference provides access to keynote sessions, technical presentations, and networking opportunities with global experts.

Publication

Publishing through the conference enhances the visibility of your research and connects your work with a broader academic audience.