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 approaches
For each area, we identify ongoing work as well as challenges and opportunities in developing and deploying AI systems with confidence.
Funding
Department of Defense Contract No. FA8702-15-D-0002
History
Publisher Statement
This material is based upon work funded and supported by the Department of Defense under Contract No. FA8702-15-D-0002 with Carnegie Mellon University for the operation ofthe Software Engineering Institute, a federally funded research and development center.
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