AI4SE & SE4AI Workshop 2024
September 17 - September 18
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. This webpage will be updated as additional details become available closer to the event on September 17-18.
Safer AI-Enabled Complex Systems: Responsible Deployment of AI through Systems Engineering
The rapid development and deployment of AI presents both tremendous opportunities and inherent risks. As AI continues to revolutionize various industries, and is embedded in complex systems at various levels, it becomes crucial to strike a delicate balance between seizing the potential benefits and addressing and mitigating potential harms. The conference theme, “Safer AI-Enabled Complex Systems: Responsible Deployment of AI through Systems Engineering,” aims to foster discussions and insights on how systems engineering can support the development of robust and ethical AI systems, and how AI tools can in turn transform the practice of systems engineering.
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. The AI4SE track delves into the application of AI in support of systems engineering processes, by enabling enhanced decision-making, optimization, validation, and verification.
JUNE 10, 2024, by 11:59pm ET
Abstract Submission Deadline
JULY 15, 2024
Notification to Authors
SEPTEMBER 17-18, 2024
Workshop Dates
The workshop will take place in person at Van Metre Hall on the George Mason University Arlington Campus at 3351 Fairfax Drive in Arlington, Virginia, 22201.
The U.S. Army DEVCOM Armaments Center Systems Engineering Directorate and the Systems Engineering Research Center are pleased to announce a call for abstracts for the fifth annual AI4SE & SE4AI Research and Application Workshop being held on September 17-18, 2024, at the George Mason University Arlington Campus. This highly anticipated event will bring together academia, government, and industry experts to explore the exciting advancements and challenges at the intersection of artificial intelligence (AI) and systems engineering (SE). All selected abstracts and presentations must be approved for public release and delivered in-person at the venue.
As in the past, the conference 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.
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Submission Guidelines:
Title : 200-character limit
Primary Author / Presenter: Full name, title and organization. Please note the person’s email address submitted here will be the main point of contact and receive all notifications pertaining to the abstract and event.
Additional Authors: Any additional authors and/or presenters should be listed with their organization.
Research Area: Indicate the specific research area (bullets) above you are addressing within the broad tracks of SE4AI or AI4SE.
Submission Type: Indicate whether submission is for an individual presentation, panel submission, or practitioner case study. Note that if panel submission is selected, the planned panelists and their organization must be identified.
Abstract Content: Please upload a 1–3-page extended abstract that clearly states the objectives, methodology, expected or achieved outcomes of your research, and explains the relevance of your work to practice. A subset of mature submissions maybe invited to a special issue after the conference.
References: An additional page can be uploaded to contain endnote references, graphics, and URL links to faculty/researcher bios and curriculum vitaes.
Submission Schedule:
Abstract Submission Deadline: June 10, 2024
Notification of Selection: July 15, 2024
Disclosure:
The AI4SE & SE4AI Research and Application Workshop is an unclassified workshop. All abstracts and selected presentations must be approved for public release.