Architectural Wisdom: A Framework for Governing Optimization in AI Systems

The article introduces a framework termed "architectural wisdom" aimed at governing optimization in AI systems, addressing structural failures that arise from optimizing poorly defined objectives. It proposes an objective-governance layer that incorporates commitments to temporal horizons, relational boundaries, and irreversibility, operationalized through components like the Structural Utility Transform and Moral Admissibility Interface. This framework is significant for AI practitioners as it emphasizes the need for a more nuanced approach to AI goal-setting, potentially improving decision-making processes and mitigating risks associated with irreversible actions and harmful optimization pathways.