System Approach
A systems approach in various AI and engineering domains emphasizes holistic design and analysis, moving beyond individual components to understand complex interactions and emergent behaviors. Current research focuses on applying this perspective to improve AI explainability, enhance the robustness of AI systems against adversarial attacks, optimize code performance, and minimize the environmental impact of AI development. This approach is crucial for building reliable, efficient, and responsible AI systems, impacting both the theoretical understanding of complex systems and the practical deployment of AI in diverse applications.
Papers
November 24, 2022
April 20, 2022