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The FAIEMA conference series invites researchers, practitioners, and industry professionals to submit original and unpublished research contributions that explore artificial intelligence from technical, ethical, societal, and multidisciplinary perspectives. FAIEMA serves as a cross-disciplinary forum where advances in AI theory and methods intersect with real-world applications, governance challenges, ethical considerations, and domain-specific insights.

Important Dates

Thu, Jun 25, 2026
Paper submission deadline

Paper Submission

Research Paper Submission Tracks

Machine Learning and Artificial Intelligence
Artificial intelligence driven applications
Artificial intelligence ethics and governance
Machine learning, deep learning, and representation learning
Generative AI and foundation models
Reinforcement learning and adaptive systems
Explainable and trustworthy AI
Multimodal AI systems
Edge AI and resource-efficient AI
AI in healthcare, medicine, and public health
AI for sustainability, climate, and energy systems
AI in smart cities, transportation, and infrastructure
AI in industry, manufacturing, and automation
AI in education, finance, and governance
AI for security, privacy, and resilience
Ethical AI, fairness, bias, and accountability
AI governance, regulation, and policy
Privacy, data protection, and GDPR-aware AI
Human-centered AI and human–AI interaction
Societal impacts of large-scale AI deployment
Responsible and sustainable AI practices
AI for research in physics
AI in cybersecurity, cyber range, and digital twins
AI at the intersection of law, ethics, and policy
AI in social sciences and humanities
AI-based decision support systems
AI for risk assessment and safety-critical systems
Interdisciplinary AI methodologies and case studies

Call for Papers Description

The FAIEMA conference series invites researchers, practitioners, and industry professionals to submit original and unpublished research contributions that explore artificial intelligence from technical, ethical, societal, and multidisciplinary perspectives.

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