What question did this study set out to answer?

The aim is to establish a schema that enhances transparency in judgment and responsibility within AI systems.

January 23, 2026Open Access

Judgment Telemetry for Agentic AI Systems: From Behavioural Events to Auditable Responsibility Flows

Key Points

The aim is to establish a schema that enhances transparency in judgment and responsibility within AI systems.
Developed a judgment telemetry schema for agentic AI systems.
Focused on rendering responsibility flows and judgment delegation observable.
Specified governance-facing fields for authority states and override conditions.
Introduced a minimal framework tracking delegation events and responsibility anchoring.
Highlighted gaps in current governance frameworks regarding judgment transparency.

Abstract

This working paper proposes a minimal judgment telemetry schema for agentic AI systems. While contemporary runtime governance frameworks focus on behavioural telemetry—actions taken, tools invoked, policies triggered—they systematically omit judgment delegation and responsibility flow. The schema introduced here specifies governance-facing fields that render delegation events, authority states, override conditions, and responsibility anchoring observable and auditable, without requiring access to model internals or proprietary decision logic.

Judgment Telemetry for Agentic AI Systems: From Behavioural Events to Auditable Responsibility Flows

Key Points

Abstract

Cite This Study