Accountable Agents - Reference Scenario and Control Trace

Accountable Agents – Reference Scenario and Control Trace is an operational evidence companion to the concept paper Accountable Agents. Instead of restating the architecture at a theoretical level, this reference paper makes the control logic visible through three concrete scenario traces: a bounded authorized commit, a high-impact no-commit with escalation, and a validator-conflict case leading to governed non-decision. Across these scenarios, the paper shows how declared roles, control artifacts, action classification, verification gates, commit authorization, final-state logic, and provenance records interact when generative reasoning approaches operational effect. It is not a production specification or a claim of universal safety. Its purpose is to provide inspectable reference patterns for accountable agency — making visible how an AI system may legitimately act, when it must transfer responsibility, and when it must remain in no-commit.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-05-21
DOI
https://doi.org/10.5281/zenodo.20324680
Primary Topic
Scientific Computing and Data Management
Type
article
Field-Weighted Citation Impact
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article

Accountable Agents - Reference Scenario and Control Trace

Thomas Gessler
Zenodo (CERN European Organization for Nuclear Research)
Scientific Computing and Data Management
article

Accountable Agents - Reference Scenario and Control Trace

Thomas Gessler
article en

Abstract

Accountable Agents – Reference Scenario and Control Trace is an operational evidence companion to the concept paper Accountable Agents. Instead of restating the architecture at a theoretical level, this reference paper makes the control logic visible through three concrete scenario traces: a bounded authorized commit, a high-impact no-commit with escalation, and a validator-conflict case leading to governed non-decision. Across these scenarios, the paper shows how declared roles, control artifacts, action classification, verification gates, commit authorization, final-state logic, and provenance records interact when generative reasoning approaches operational effect. It is not a production specification or a claim of universal safety. Its purpose is to provide inspectable reference patterns for accountable agency — making visible how an AI system may legitimately act, when it must transfer responsibility, and when it must remain in no-commit.

Zenodo (CERN European Organization for Nuclear Research)
Peace, Justice and strong institutions
Openalex Percentile: Top 3%
Scientific Computing and Data Management
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