Technical Tracks
Topic areas and submission categories for IRAI 2027.
IRAI 2027 focuses on advancing Artificial Intelligence systems that are not only technically innovative but also responsible, trustworthy, secure, and deployable in real-world environments. Submissions addressing transparency, safety, accountability, robustness, and governance aspects of AI systems across all technical domains are especially encouraged.
The organising committee cordially invites high-quality papers representing original work, including but not limited to the following technical tracks:
Machine learning and deep learning methods, generative AI and large language models, foundation models, multimodal learning, reinforcement learning, representation learning, trustworthy model training, uncertainty estimation, explainable model architectures, model evaluation, robustness, and benchmarking.
AI for manufacturing and Industry 4.0, predictive maintenance, industrial automation, intelligent process optimisation, smart infrastructure, quality inspection, AI-driven decision support systems, deployment of AI in regulated environments, and real-world industrial case studies.
Scalable AI training and inference infrastructure, distributed and parallel AI systems, cloud and edge AI platforms, GPU and accelerator optimisation, energy-efficient AI systems, trustworthy and secure AI infrastructure, AI lifecycle management systems, and reliable deployment of foundation models.
Robust and safe AI system design, adversarial machine learning, secure model deployment, privacy-preserving AI, threat detection and mitigation, protection against prompt injection and model manipulation, secure AI pipelines, and AI risk management and assurance.
Autonomous robotic systems, embodied AI, perception and control, robot learning, industrial robotics, autonomous navigation, human-robot interaction, AI for cyber-physical systems, and safe and reliable deployment of AI in physical environments.
Responsible AI design and deployment, fairness and bias mitigation, explainability and transparency, accountability frameworks, governance and regulatory compliance, auditability and assurance, societal impacts of AI, human-centred AI, and trustworthy AI systems.
Intelligent tutoring systems, generative AI in education, AI-assisted learning platforms, automated assessment systems, personalised learning environments, AI literacy, responsible deployment of AI in education, and AI-supported teaching and learning innovation.
Cross-domain AI applications in healthcare, finance, energy, sustainability, smart cities, and public systems; interdisciplinary AI systems; human-AI collaboration; digital twins; and integration of AI into complex real-world operational environments.
IRAI 2027 invites proposals for Special Sessions on focused technical topics and recent advances in Responsible AI. Special Session papers go through the same review process as regular papers.