International Workshop on Design Patterns and Governance Practices for Agentic and Responsible AI Systems (AI Patterns'27)

March 8th or 9th, 2027, Sydney, Australia
Co-located with the 24th IEEE International Conference on Software Architecture (ICSA 2027)

　　 (Photo: Photoholgic, Unsplash)

Outline and Goal

The popularity of artificial intelligence (AI), including machine learning (ML) techniques and agentic AIs, has increased in recent years. AI is used in many domains, including cybersecurity, the Internet of Things, and autonomous cars, and is expanding its impact in scientific research, consumer assistants, and enterprise services through advancements in Generative AI (GenAI). Many works have investigated the mathematics and algorithms on which the AI techniques and models are built, but few have examined system engineering as well as their governance, which ensures AI systems are built, used, and managed to maximize benefits and prevent harms. AI engineering and governance needs to bring together diverse stakeholders across AI algorithms, data science, software/system engineering, compliance, legal, and business teams.

In AI software engineering and governance, there is often a gap between high-level abstract principles and low-level concrete tools and rules. Patterns encapsulating recurrent problems and corresponding solutions under particular contexts and pattern languages as organized and coherent patterns can fill such gaps, resulting in a common ``language'' for various stakeholders involved in often interdisciplinary AI software systems development and governance.

Researchers and practitioners study best practices for engineering and governing AI/ML systems to address issues in AI and ML techniques as well as processes, policies, and tools for trustworthy, responsible and safe AI system development and management. Such practices are often formalized as patterns and pattern languages. Major examples are:

While AI engineering and governance patterns have been documented, there's still much to uncover in this landscape, particularly in the area of engineering and governance targeting emerging responsible AI as well as agentic AI. This limited understanding hampers adoption, preventing the realization of their full potential.

The goal of the workshop is to bring together software engineering and AI experts from academia and industry, featuring and taking a special focus on the theoretical, social, technological, and practical advances and issues related to patterns and practices in AI engineering and governance.

Call for Papers

We solicit contributions on the patterns, practices, and related topics in the area of agentic and responsible AI engineering and governance. Topics of interest include but are not limited to:

Important Dates (TBD)

Paper Categories

Paper Formatting and Submission

All submissions must adhere to the IEEE Computer Society Format Guidelines. Paper submission will be done electronically through EasyChair, selecting AI Patterns 2027: Workshop on Design Patterns and Governance Practices for Agentic and Responsible AI Systems. Every paper submission will be peer-reviewed by reviewers. Emphasis will be given on originality, usefulness, practicality, and/or new problems to be tackled. Papers must have overall quality and not have been previously published or be currently submitted elsewhere. Accepted papers will be published in the ICSA 2027 Companion proceedings, and will appear on IEEE Xplore. At least one author of each accepted paper registers for the ICSA conference and presents the paper in-person at the workshop.

Workshop History

The organizers held the following events previously. The workshop AI Patterns 2027 is a great opportunity to continue, strengthen, and expand this community with a particular focus on emerging responsible AI and agentic AI.

Organizing Committee

Contact us at: ai-pattern [at] list.waseda.jp

Program Committee

References