This paper introduces the Social Responsibility Stack (SRS), a six-layer architectural framework designed to embed societal values into AI systems through explicit constraints, safeguards, and governance processes. It reframes responsible AI as a closed-loop supervisory control problem, aiming to bridge the gap between ethical principles and actionable engineering mechanisms for socio-technical AI.