Robust and Resilient AI

Robust and Resilient Artificial Intelligence

Developing the next generation of intelligent systems for missions characterized by uncertain, dynamic, and adversarial environments

Our Contribution

Scientists and engineers in APL’s Intelligent Systems Center (ISC) work to enable confidence in intelligent systems for critical national security applications through research in uncertainty-aware risk sensitivity, safe and trustworthy artificial intelligence (AI), and testing and evaluation of emerging AI technologies.

Our work involves close collaboration with experts and researchers from the Johns Hopkins Institute for Assured Autonomy.

Research

Safe, Trustworthy, and Robust AI Models

 

ISC researchers address challenges in identifying, characterizing, and mitigating risks toward achieving safe deployment of AI in complex and challenging real-world settings. Research efforts address AI vulnerabilities across a range of threat models and operating conditions with the development of novel methods for dataset and model bias detection/mitigation, Trojan detection and removal, and adversarial and natural robustness evaluation.


Sample-Efficient, Uncertainty-Aware Deep Reinforcement Learning

ISC researchers are developing fundamentally new techniques to enable AI to operate in a dynamic and unpredictable world. These include uncertainty-aware control policies that adapt to stochastic changes in operating conditions and out-of-distribution settings, as well as risk-sensitive deep reinforcement learning techniques that allow agents to prioritize competing mission objectives.


Testing and Evaluation of Emerging AI Technologies

Evaluation of new AI technologies such as generative AI and continual learning systems—ensuring that they work safely and as designed—is itself a research topic and is critical to successful deployment of AI-based systems. A core mission of the ISC is to drive this research area forward and to conduct evaluations that integrate APL’s trusted technical adviser role with a leading, interdisciplinary research program in AI, robotics, and autonomy. Novel datasets, benchmarks, metrics, and evaluation frameworks and tools developed by APL are regularly released to the public to drive future research.


Meet Our Experts

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