AI and Security Convergence (AISC) is an international, peer-reviewed, interdisciplinary journal that publishes cutting-edge research at the intersection of artificial intelligence and security. The journal aims to provide a dedicated platform for advancing the understanding and development of safe, secure, and trustworthy AI systems to address real-world challenges.
AISC welcomes submissions that explore the convergence of AI methodologies with security principles, including but not limited to data privacy, large language model security, trustworthy machine learning, autonomous agent safety, and adversarial robustness. The journal seeks to bridge theoretical advances and practical applications in domains such as healthcare, finance, defense, autonomous systems, and digital infrastructure.
The journal is a Gold Open Access journal, online readers don’t have to pay any fees.
The journal is currently free to the authors, and all Article Processing Charges (APCs) are waived until 31 December 2026.
Articles in Online First are peer reviewed, accepted articles that are not yet assigned to volumes/issues, but have a DOI and are fully citable. Please note that the article in Online First version will be removed and the final version will appear in the associated published online volumes/issues of the publication if the final version is assigned to volumes/issues.
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