Journal of Augmented Intelligence Systems (JAUGIS) is a peer-reviewed academic journal dedicated to the study and development of intelligent systems that enhance, support, and extend human decision-making, creativity, productivity, and problem-solving capabilities. The journal focuses on the interaction between human intelligence and artificial intelligence, emphasizing collaborative, explainable, adaptive, and human-centered approaches to intelligent system design and implementation.
The journal welcomes original research articles, systematic reviews, case studies, methodological papers, and applied studies related to augmented intelligence, human-AI collaboration, decision support systems, intelligent information systems, cognitive computing, adaptive learning systems, explainable AI, knowledge-based systems, data-driven decision-making, intelligent automation, and AI-assisted professional practice. Particular attention is given to research that demonstrates how intelligent technologies can strengthen human judgment rather than replace it.
JAUGIS encourages interdisciplinary contributions from computer science, information systems, data science, education, healthcare, business, engineering, public administration, and other applied domains where intelligent systems are used to improve performance, efficiency, accessibility, and decision quality. Through rigorous peer review and scholarly dissemination, the journal aims to advance the development of responsible, transparent, and practical augmented intelligence systems for academic, industrial, and societal applications.