SERC and INCOSE AI4SE & SE4AI Workshop 2024

Sponsored and organized the Systems Engineering Research Center (SERC) and the INCOSE AI Working Group, this virtual workshop builds on the 2024 AI4SE & SE4AI Workshop sponsored and organized by SERC and the US Army DEVCOM Armaments Center Systems Engineering Directorate in collaboration with George Mason University.

• Register for November 6 Evening Session, 8:00pm – 12:00am ET
• Register for November 7 Morning Session, 8:00am – 12:00pm ET

This virtual workshop is tentatively slated to take place at 8:00pm-12:00am ET on November 6 and 8:00am-12:00pm ET on November 7. Abstracts are sought from government, industry and academia for presentations and panels to explore the exciting advancements and challenges in the field of artificial intelligence (AI) and systems engineering (SE). All selected abstracts and presentations must be approved for public release.

The workshop theme is Safer AI-Enabled Complex Systems: Responsible Deployment of AI through Systems Engineering.

As in the past, the workshop will be organized around two main themes: SE4AI and AI4SE. We welcome contributions to either theme or any of the subthemes elaborated below:

SE4AI. The SE4AI track focuses on leveraging systems engineering principles and methodologies to develop safe, robust, and efficient AI systems, while extending them in response to the nature of AI enabled systems.

Specific research areas in this track include but are not limited to:

• AI embedded in complex systems of systems (SoS) and/or teams,
• Measures of trust that include a recognition of human and technology interaction, including studies on explainability, interpretability, and related AI-ilities.
• Test and Evaluation (T&E) across the lifecycle,
• System design processes that support AI across the lifecycle, including AI maintenance and sustainment principles and practice.
• Bidirectionality in human-AI collaborative systems.
• Socio-technical System Testbeds to support system characterization and/or training.
• Critical aspects of safety, reliability, and ethical considerations in developing and deploying AI systems.

AI4SE. The AI4SE track delves into the application of AI in support of systems engineering processes, by enabling enhanced decision-making, optimization, validation, and verification.

Specific research areas in this track include but are not limited to:

• Evolving role of digital engineering and its impact on the systems engineering workforce, fostering skill development and adaptation in an AI-driven landscape.
• Large Language Models (LLMs) co-pilots for systems modelers and engineers.
• Cognitive assistants: conversational systems automating many mundane data entry, exploration, and engineering calculation tasks, and many workflows, beyond LLMs.
• AI and visualization to assist in complex project management activities, including managing human teams.
• AI for system design and design space exploration.
• Other AI, data analytic, and visualization approaches to improve SE and PM.