The fifth annual AI4SE and SE4AI workshop is sponsored and organized by the U.S. Army DEVCOM Armaments Center Systems Engineering Directorate and the Systems Engineering Research Center and will be hosted at the George Mason University Arlington Campus. Information on the following tracks can be found 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 life cycle.
- System design processes that support AI across the life cycle, 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.