Judgement as a Service (JaaS): Operationalizing Decision Authority in AI-Mediated Systems

This paper introduces Judgement as a Service (JaaS) as a conceptual framework for understanding how judgement processes are externalized and operationalized in AI-mediated systems. Rather than treating AI systems solely as tools for information retrieval, recommendation, or decision support, the paper argues that AI increasingly performs evaluative processes that structure decision formation prior to explicit human choice. The framework positions JaaS as the operational layer of the Decision Mediation Layer (DML), where judgement processes become structured, externalizable, and callable system functions. These processes include option evaluation, constraint filtering, and outcome estimation, which collectively shape observable decisions. This work contributes to ongoing discussions surrounding AI-mediated decision systems, judgement externalization, decision authority, and the transformation of human-AI interaction structures.