2nd International Workshop on Artificial Intelligence for Autonomous computing Systems (AI4AS 2024)

Co-located with ACSOS 2024, which takes place in Aarhus (Denmark) - September 16-20, 2024.

Important Dates

  • Submission deadline: June 25th, 2024
  • Notification to authors: July 18th, 2024
  • Camera-ready deadline: July 26th, 2024
  • Workshop: September 16th or 20th, 2024 (TBA)

All times in Anywhere on Earth (AoE) timezone.

Call for Papers

Modern computing systems are large and heterogeneous. 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. Not surprisingly, recent advancements in Artificial Intelligence (AI) and Machine Learning (ML) significantly impacted and fostered the development of autonomous computing systems, providing new or enhanced methodologies to cope with system complexity and uncertainty. 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 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):

  • AI and ML techniques for self-* computing systems
  • Architectures and frameworks for AI integration
  • Sustainability aspects of AI-driven adaptation
  • Federated and multi-agent learning approaches for decentralized adaptation
  • Robustness, explainability, safety, and security of AI-driven computing systems
  • Integration of large language models (LLMs) into autonomous computing systems
  • Self-adaptation for AI/ML systems
  • Case studies and real-world implementations of AI for autonomous computing systems


Gabriele Russo Russo

Valeria Cardellini

Paolo Romano

Program Committee


Author Information

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 “International Workshop on Artificial Intelligence for Autonomous computing Systems”. 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.

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