Work

Judgment Delegation Protocols for Agentic AI Systems From Best-Practice Checklists to Observable Responsibility Chains

Year: 2026

Type: article

Abstract: This working paper proposes judgment delegation protocols as a missing governance layer for agentic AI deployments. It translates high-level best-practice guidance into auditable governance primitives: delegation events, authority states (advisory → relied-upon → authoritative), override conditions, and responsibility anchoring across socio-technical nodes. Rather than regulating model internals, the framework makes responsibility chains observable and contestable at the workflow level—where judgment most often migrates silently and accountability collapses without error.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.18320234

Author: Ma, Sincere Ann

Language: English

Topic: Ethics and Social Impacts of AI

Subfield: Safety Research

Field: Social Sciences

Domain: Social Sciences

SDG: Peace, justice, and strong institutions

Open Access status: green

OpenAlex ID: W7125112452

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