Abstract
We identify three specific areas of focus to advance Robust and Secure AI for defense and national security:• Improving the robustness of AI components and systems and the need to go beyond accuracy measurements to capture achievement of mission outcomes• Designing for security challenges in modern AI systems including novel attack surfaces and patterns, as well as strategies for risk mitigation• Developing processes and tools for testing, evaluating, and analyzing AI systems and adoption of comprehensive test and evaluation approachesFor each area, we identify ongoing work as well as challenges and opportunities in developing and deploying AI systems with confidence.
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