A proposed monotonic relationship in which the share of accountability assigned to the human increases with the extent of authority delegated to the AI, treated as a relationship between delegated scope and assigned responsibility rather than as a single event.
TREND/relationship. Operationalized as the monotonic association between (a) delegated-authority level, scored per task on a defined 1-5 delegation scale, and (b) the share of outcome accountability formally assigned to the human, expressed as a 0-1 proportion from a responsibility-assignment matrix. The construct is the direction and strength of the relationship (rank correlation / slope) between (a) and (b) across a task set, not a single ratio value and not a per-turn count.
Proposed measurement protocol (not yet empirically validated): Per-task coding of delegation level and of assigned human-accountability share, then estimation of the rank correlation (Spearman's rho) between the two across tasks; positive monotonic association supports the construct. Delegation-level coding agreement could be reported as weighted kappa.
https://andreasehstandlicenseofclarityloc.github.io/augmanitai-periodic/#topic-meta-reflection