Conference Scope

AIHCS 2027 is an international forum for researchers, practitioners, and industry professionals to present and discuss the latest advances in artificial intelligence and human-centered systems. The conference aims to bridge foundational AI research with the design, development, evaluation, and governance of intelligent systems that are effective, usable, trustworthy, and beneficial to people and society.

We invite high-quality original research papers, short papers, and poster/demo submissions on a broad range of topics related to AI and human-centered systems. Submissions will be peer-reviewed by the international Program Committee.

Topics of Interest

Topics of interest for submission include, but are not limited to:

Human-Centered Intelligent Systems and Cognitive Computing

  • Cognitive architectures and cognitive computing

  • Context-aware and situation-aware systems

  • Human-centered intelligent system design

  • Affective and social computing

  • Brain-inspired and cognition-inspired AI

  • Intelligent systems for health, education, and well-being

  • Human factors in intelligent system deployment

Human-AI Interaction and Collaboration Systems

  • Human-AI interaction design and user experience

  • Conversational agents and dialogue systems

  • Human-AI collaboration and teaming

  • Embodied and multimodal interaction

  • Explainable and interactive AI interfaces

  • Adaptive and personalized interaction systems

  • Evaluation methods for human-AI interaction

Artificial Intelligence and Advanced Machine Learning

  • Generative AI and large foundation models

  • Multimodal learning and multimodal AI systems

  • Reinforcement learning and decision-making

  • Deep learning architectures and optimization

  • Self-supervised, few-shot, and continual learning

  • AI methods for perception, reasoning, and planning

  • Evaluation and benchmarking of advanced ML models

Trustworthy and Responsible Human-Centered AI Applications

  • Fairness, accountability, and transparency in AI

  • Privacy, security, and safety of AI systems

  • Explainable AI and interpretable models

  • AI governance, ethics, and regulation

  • Human-centered AI applications in healthcare, education, finance, mobility, and public services

  • Risk assessment and evaluation of trustworthy AI

  • Responsible deployment and societal impact of AI

If you have any questions, please contact us at: contact_aihcs@163.com