Pre-deployment OWL-RL classification engine grounded in BFO 2020 (ISO/IEC 21838-2). Deterministic, audit-traceable assessments of EU AI Act Annex III high-risk conditions. RO, IAO, CCO as ROBOT BOT slim modules. Independent OWL 2 DL cross-check via HermiT in CI. Currently models Annex III 1(a) and 5(b).

Lean 4 formalization of the contextual structural explainability layer.

Lean 4 formalization of Accountable Entities (AE): six named entity kinds and their mapping to six identity regimes.

Lean 4 formalization of the Ontological Neutrality Theorem

Lean 4 formalization of the exchange protocol schemas.

Lean 4 formalization of the necessary and sufficient identity-and-persistence regimes for neutral accountability substrates.

Paper establishing that for an ontological substrate to remain neutral and stable under allowable frameworks that include persistent disagreement, causal or normative commitments cannot be part of the substrate itself.

This paper derives necessary and sufficient structural constraints on neutral ontological substrates required to support stable reference and accountability under persistent disagreement.

Ontology engine for Python.

📜 Formalize exchange protocol schemas with Lean 4, ensuring structural integrity and composability of core data representations for clear data exchange.

🌐 Formalize structural constraints for ontological substrates, ensuring stability across diverse interpretations and frameworks in support of accountability.

🗂️ Explore the Lean 4 formalization of Accountable Entities, detailing six entity types and their identity regime mappings for clear understanding and application.