Special Interest Group on Artificial Intelligence Research

Special Interest Group on Artificial Intelligence Research (SIGAIR) is a peer-reviewed, open-access academic journal dedicated to publishing high-quality research in the field of Artificial Intelligence (AI). SIGAIR serves as a platform for researchers, engineers, and practitioners to exchange the latest advances in AI, Artificial General Intelligence (AGI), and machine learning, as well as their deployment in real-world systems.

The journal covers a broad range of topics, including but not limited to:

• Foundations and theory of intelligent systems

• Learning algorithms and optimization

• Multimodal, embodied, and interactive intelligence

• Causal inference and reasoning under uncertainty

• AI for scientific discovery, healthcare, robotics, finance, and smart infrastructure

• Ethical, robust, and trustworthy AI

• Large-scale pre-trained models and general-purpose AI systems

SIGAIR publishes a variety of article types including original research, surveys, theoretical contributions, method papers, application case studies, and negative results. Each submission undergoes a rigorous single-blind peer review process, managed by an international editorial board.

The journal provides immediate open access to its contents under a Creative Commons Attribution 4.0 License (CC BY 4.0), ensuring broad dissemination and maximum visibility of research outputs.