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The Intelligence Bound Alignment Suite: Nine Machine-Verified Safety Invariants for Autonomous Conservation Agents | Synapse
June 19, 2026
Open Access
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The Intelligence Bound Alignment Suite: Nine Machine-Verified Safety Invariants for Autonomous Conservation Agents
JH
Justin Hart
University of Providence
A(
Aristotle (Harmonic)
Laboratoire Spécification et Vérification
Key Points
The aim is to establish safety invariants that autonomous conservation agents must meet to ensure secure operations.
Developed nine machine-verified safety invariants using Lean theorem proving.
Each invariant includes a positive theorem and an unsafe case refutation that has been audited for non-vacuity.
Complemented strategic alignment results focused on conservation operations.
Safety invariants cover aspects like non-interference, non-observability, and delegation containment.
Each invariant is validated through Lean, ensuring rigorous certification of safety properties.
Highlights the implications of Goodhart's impossibility in operational alignment.
Abstract
Series S4 (Stewardship not peer-reviewed.
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Hart et al. (Mon,) studied this question.
synapsesocial.com/papers/6a34dec865a5b0777af2e20f
https://doi.org/https://doi.org/10.5281/zenodo.20705263
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