The Social Responsibility Stack: A Control-Theoretic Architecture for Governing Socio-Technical AI

This paper introduces the Social Responsibility Stack (SRS), a control-theoretic architecture designed to govern socio-technical AI systems responsibly. The SRS provides a modular framework for integrating ethical considerations, accountability mechanisms, and societal values into AI system design and operation. By leveraging control theory principles, the SRS aims to ensure AI systems align with human norms and societal goals, mitigating potential negative impacts and fostering trust in autonomous technologies.