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Overview of Maturation of Determining the Limits of AI Robustness (MDLAR)

This short video provides an introduction to a research topic presented at the SEI Research Review 2022.

Software Engineering Institute



As part of the CMU SEI Research Review 2022, Dr. Michael Konrad previews his project, Maturation of Determining the Limits of AI Robustness (MDLAR). Visit to learn more about the event.

At the 2022 Research Review, our researchers will detail how they are forging a new path for software engineering by executing the SEI’s technical strategy to deliver tangible results. They will highlight methods, prototypes, and tools aimed at the most important problems facing the DoD, industry, and academia, including AI engineering, computing at the tactical edge, threat hunting, continuous integration/continuous delivery, and machine learning trustworthiness. You will learn how our researchers' work in areas such as model-based system engineering, DevSecOps, automated design conformance, software/cyber/AI integration, and AI network defense—to name a few—has produced value for the U.S. Department of Defense (DoD) and advanced the state of the practice.