Co-located with ACSOS 2025, which takes place in Tokyo (Japan) - Mon 29 September - Fri 3 October 2025.
All times in Anywhere on Earth (AoE) timezone.
Modern computing systems are characterized by increasing heterogeneity and operate on larger and larger scales. Their complexity is hardly manageable by a human being, especially when it comes to taking timely decisions in highly dynamic environments or to guarantee strict Quality-of-Service requirements. With the rapid evolution of AI and ML techniques - including generative AI, agentic AI, and edge intelligence - new opportunities have emerged for designing more robust, sustainable, and secure computing systems. AI and ML techniques are increasingly adopted to assist or guide system self-adaptation, as they are used, e.g., to extract relevant information from highly dimensional and noisy monitoring data, to predict internal or external dynamics, to automatically plan (and possibly activate) adaptation actions.
However, there are still several challenges to face for researchers and practitioners aiming to take advantage of these methodologies and incorporate them in their systems. Fundamental issues towards the applicability of AI and ML techniques across diverse domains must be investigated, especially as regards the accuracy, robustness, explainability, safety, security, performance and sustainability of AI-driven autonomous computing systems.
In this workshop, we solicit high quality contributions that fit with the overarching theme of AI and ML meeting autonomous computing systems. We invite submissions of original research papers, as well as vision papers and experience reports.
The aim of the workshop is to share new findings, exchange ideas and discuss research challenges on the following topics (not an exhaustive list):
All submissions are required to be formatted according to the standard IEEE Computer Society Press proceedings style guide. Papers can be submitted in PDF format via EasyChair, making sure to select the track “AI4AS-Workshop”. Submitted manuscripts must be no longer than 6 pages (including figures, tables, and references).
Accepted papers will be published in the ACSOS Companion volume and will appear in IEEE Xplore.
As per the standard IEEE policies, all submissions should be original, i.e., they should not have been previously published in any conference proceedings, book, or journal and should not currently be under review for another archival conference. We would like to also highlight IEEE’s policies regarding plagiarism and self-plagiarism, available here.
Moreover, as per IEEE guidelines, the use of content generated by artificial intelligence (AI) in a submission (including but not limited to text, figures, images, and code) shall be disclosed in the acknowledgments section.