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(ICEAIE - 27) | Hybrid Event
7th - 8th June 2027 | Montreal, Canada

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International Conference on Explainable AI in Engineering
(ICEAIE - 27)

7th - 8th June 2027 Montreal, Canada (Hybrid Event)

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Call for Paper

The ICEAIE is committed to addressing global challenges through impactful research and sustainable solutions. It brings together researchers dedicated to advancing knowledge for societal benefit. Focusing on Data Science, the conference promotes research aligned with global development goals and long-term sustainability. 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
Review & Publication

All submissions will be reviewed for their contribution to global impact and research quality. Accepted papers will be presented and considered for publication in reputed platforms.

Registration

Join participants from around the world by completing your registration and becoming part of a global research community.

Publication

Accepted papers will gain international exposure through conference presentations and publication opportunities.

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