Extension: Outlining Traceability: A Principle for Operationalizing Accountability in Computing Systems
Attribution is a system property, not a label added after failure. Kroll's account of traceability connects the provenance of components, design choices, and operation to specific outcomes and to the question of whom to hold responsible. He also draws a necessary boundary. A mechanical path from input to output does not explain why the system works as it does. Traceability depends on the system in use, its origins, and the decisions that produced its behavior. That distinction is especially important when a workflow crosses independently operated components. A record that an authorized call occurred may identify the caller. It does not establish which component contributed to the harmful outcome, whether the component behaved within its assigned function, or which design and operational decisions made the outcome possible. Without that evidence, responsibility becomes a contest over assertions rather than a finding grounded in the composition. The source does not prove legal fault, measure incentive effects, or study sovereign local agent runtimes. It treats traceability as an enabling value for accountability and risk management. The institutional implication is therefore bounded. A runtime should preserve contribution provenance at each composition boundary, bind components and decisions to outcomes, and retain enough context for independent review. The governing rule must separately specify how that evidence becomes responsibility, remedy, or changed incentives. Traceability cannot itself choose the rule. It makes a defensible choice possible and exposes the absence of one.
risk-and-incentivesgovernance-designai-and-agentsaccountabilityattributionprovenancetraceabilityresponsibility