Artificial Intelligence
Engineering AI Systems for Mission-Practical Capabilities
AI holds incredible promise for transforming our software-driven world in general and DoD mission capabilities in particular. The computational advantages AI offers allow us to make the most of human-machine teaming, freeing humans to focus their attention on the types of tasks they do best. The SEI’s history as a federally funded research and development center (FFRDC) dedicated to software engineering means that we know what it takes to lay a foundation for confident, rapid adoption of AI for national defense and security. In collaboration with faculty and researchers at Carnegie Mellon University, the SEI focuses in the following areas:
- AI Engineering: The SEI is addressing a variety of challenges of engineering AI-enabled systems. Such challenges include scalability, representation, AI architectures, verification and validation for AI assurance, and interpretability.
- Applied AI: The SEI applies AI to DoD missions, including intelligence, surveillance, and reconnaissance (ISR); cybersecurity; mission planning and mission command; and logistics.
- AI for Software Engineering: Not only is AI at the heart of many software programs, it has the potential to revolutionize the process of software engineering itself. The SEI is exploring the potential of AI in this area.
Featured Work
Verifying and Validating Mission-Critical Systems Using Quantum Computing
The SEI is working to study how quantum computing can serve as the next paradigm for optimization in fields like software verification and validation.
Explainable AI: Why Did the Robot Do That?
To help human users trust their robot team members in critical situations, we develop tools that allow autonomous systems to explain their behavior.
Featured Publications
AI at the SEI
January 29, 2019 • Fact Sheet
The SEI’s history as a federally funded research and development center (FFRDC) dedicated to software engineering means that we know what it takes to lay a foundation for confident, rapid adoption of AI for national defense and security.
read
Influence Attacks on Machine Learning
December 12, 2018 • Video
Mark Sherman
Mark Sherman explains how deep learning is playing an increasing role in developing new applications and how adversaries can attack machine learning systems in a variety of ways.
watch
Deep Learning in Cybersecurity
November 20, 2018 • Video
Eliezer Kanal
Eliezer Kanal explains deep learning, a subfield of artificial intelligence, and how the SEI is conducting research to learn how it might be used to advance cybersecurity.
watch
Explainable AI and Human Computer Interaction
October 24, 2018 • Presentation
discussion of explainable AI
read
You Can Prove It With Less: Data Science Tasks Using Challenge-Based Acquisition
October 24, 2018 • Presentation
Information on a use of data science
read