Hierarchical AI Safety Architecture

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Authors: teamACT
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Abstract

Overview Initial public release of the Hierarchical AI Safety Architecture. Introduces a two-layer design separating task execution from oversight, enabling structured intervention and auditable decision trails. Key components Primary AI: user interaction and task execution Supervisory AI: verification, constraint/override, and monitoring Status / next Foundation release. Future versions will add evaluation protocols and concrete test setups.

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
4 January 2026