AI4SE & SE4AI Workshop 2025

The Systems Engineering Research Center and U.S. Army DEVCOM Armaments Center are pleased to welcome participants for the sixth annual AI4SE & SE4AI Research and Application Workshop on September 17-18, hosted by The George Washington University Trustworthy AI Initiative in Washington, DC.

This event will be hybrid. Registration will open this summer. For questions, please contact SERC Communications Manager Alan Skontra.

Read about previous workshops.

Keynote Speakers

Dr. Morgan Dwyer, Head of Policy Operations, Open AI

Dr. Morgan Dwyer is the Head of Policy Operations at OpenAI, where she leads the development and coordination of the company’s public policy positions.

Prior to joining OpenAI, Dr. Dwyer served in multiple senior U.S. government roles, including at the White House, the Department of Commerce, and the Department of Defense. At Commerce, Dr. Dwyer served as the Chief Strategy Officer at CHIPS for America, where she recruited, built, and managed a 50+ person team implementing the CHIPS Act, a bipartisan initiative to onshore semiconductor manufacturing. In this role, Dr. Dwyer directed the construction of a $39 billion investment portfolio, led teams that assessed investment opportunities for alignment with policy priorities, conducted technical and security due diligence, managed regulatory compliance, and advised on security, technology, workforce, international, and environmental policy. Read full bio.

 

Dr. Matthew Johnson, Chief of Responsible AI, U.S. Department of Defense

Dr. Matthew Kuan Johnson serves as Chief of Responsible AI (RAI) for the U.S. Department of Defense (DoD), where his team is based within the Chief Digital and Artificial Intelligence Office (CDAO).

As the DoD’s lead for Responsible AI, his Division builds the technical tools, assessments, best practices, governance processes, training, and culture within the Department that support the operationalization and implementation of Responsible AI and the DoD AI Ethical Principles – in addition to serving as the Department’s primary technical advisor on Responsible AI. Recently, his Division produced and issued the Department’s guidance on Generative AI development and use, based on insights from various research initiatives conducted and overseen by his team. Read full bio.

 

Systems Engineering AI that Works: Assuring Transformative Capabilities and Enabling a Digital Transformation

Rapid advances in Artificial Intelligence Enabled Systems (AIES) are key enablers of both future operational capabilities and efficiency in the lifecycle of acquisition, engineering, manufacturing and operations & sustainment. This presents both transformative potential, and new risks. System engineering as a discipline has a critical role to play in ensuring that when deployed, AIES will work as needed, in accordance with legal principles and does not introduce new sources of vulnerability. Systems engineering processes must be updated to meet these changing needs. The conference theme for 2025 – “Systems Engineering AI that Works: Assuring Transformative Capabilities and Enabling a Digital Transformation” – aims to foster discussions and insights on how systems engineering can support the development of trustworthy AI systems, and how AI tools can in turn transform the practice of systems engineering and shape the workforce.

The SE4AI Track

The SE4AI track focuses on leveraging systems engineering principles and methodologies to develop safe, robust, and efficient AI systems that augment operational capabilities, while extending and advancing these principles and methodologies 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 and interaction, including studies on explainability, interpretability, and related AI-ilities.
• Test and Evaluation (T&E) of AI enabled systems 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.

The AI4SE Track

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.
• 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 to manage large-scale data-intensive tasks, including mission model creation, tradespace exploration, document review and synthesis.
• Other AI, data analytic, and visualization approaches to improve SE and PM, including AI-augmented and guided exploration of extremely large data spaces with complex relationships.
• Considerations of how the availability of AI tools could/should workflows and what training is needed.

Sponsorship Opportunities

Opportunities to support the hosting of the AI4SE & SE4AI workshop include branded exhibit tables, resources for the networking reception, and more.

See the flyer with details, and contact Emily DeVito, Director of External Partnerships, GW Trustworthy AI Initiative at gwtai@gwu.edu.

View Flyer