Declaration Layers and the Evaluation of Agent Boundaries
Abstract
This paper examines the role of declaration layers in alignment evaluation for autonomous AI systems... Building on recent research on scheming and deceptive behaviors in AI systems, it proposes that explicit boundary declarations may complement behavioral alignment approaches by reducing structural ambiguity in agent evaluation contexts. The paper introduces the concept of declaration layers as a governance-oriented interface through which AI agents disclose operational authority, constraints, and accountability structures prior to execution. Agent Manifest is presented as an example of such a declarative infrastructure. By clarifying agent boundaries before action, declaration layers may improve interpretability of behavioral evaluations and support institutional oversight frameworks for increasingly autonomous AI systems.
Fields of Study & Subjects
Ethics and Social Impacts of AI
Explainable Artificial Intelligence (XAI)
Access Control and Trust
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 5 March 2026
- Language
- ENC