System Theory
Systems theory is expanding its application to the analysis and design of algorithms and artificial intelligence, moving beyond traditional closed-system views to encompass open systems interacting with their environments. Current research focuses on modeling algorithms as dynamic systems, employing frameworks like abstract systems theory and the core-periphery model to understand complex interactions and emergent behavior in AI, particularly concerning issues of fairness and bias in applications like risk assessment. This shift has significant implications for engineering robust and ethical AI systems, improving their reliability, predictability, and societal impact.
Papers
November 13, 2024
January 25, 2024
August 4, 2022
January 3, 2022