Crosswalk: Discipline Invariants Mapped to the TOPS Influence‑Operations Framework for AI‑Mediated Judgment Environments
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| Formato: | Recurso digital |
| Lenguaje: | inglés |
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Zenodo
2026
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| _version_ | 1866901063978713088 |
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| author | Truong, Narnaiezzsshaa |
| author_facet | Truong, Narnaiezzsshaa |
| contents | <p>This document establishes a standards‑grade crosswalk between five discipline invariants—Lineage Anchoring, Role Integrity, Drift Telemetry, Reversibility, and Sovereignty Preservation—and the four elements of the TOPS framework (Tactic, Objective, Playbook, Signals). The crosswalk provides a substrate‑level governance architecture for institutions deploying AI systems that participate in legal, regulatory, investigative, or arbitral judgment. It defines controls, evidence requirements, and review cadences that preserve institutional integrity in adversarial information ecosystems.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_18509484 |
| institution | Zenodo |
| language | eng |
| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Crosswalk: Discipline Invariants Mapped to the TOPS Influence‑Operations Framework for AI‑Mediated Judgment Environments Truong, Narnaiezzsshaa substrate governance, TOPS framework, AI governance, institutional judgment, adversarial AI, lineage anchoring, drift telemetry, role integrity, reversibility, sovereignty preservation, legal AI, regulatory AI, threat modeling, EIOC, ALP, AIOC, standards crosswalk, influence operations <p>This document establishes a standards‑grade crosswalk between five discipline invariants—Lineage Anchoring, Role Integrity, Drift Telemetry, Reversibility, and Sovereignty Preservation—and the four elements of the TOPS framework (Tactic, Objective, Playbook, Signals). The crosswalk provides a substrate‑level governance architecture for institutions deploying AI systems that participate in legal, regulatory, investigative, or arbitral judgment. It defines controls, evidence requirements, and review cadences that preserve institutional integrity in adversarial information ecosystems.</p> |
| title | Crosswalk: Discipline Invariants Mapped to the TOPS Influence‑Operations Framework for AI‑Mediated Judgment Environments |
| topic | substrate governance, TOPS framework, AI governance, institutional judgment, adversarial AI, lineage anchoring, drift telemetry, role integrity, reversibility, sovereignty preservation, legal AI, regulatory AI, threat modeling, EIOC, ALP, AIOC, standards crosswalk, influence operations |
| url | https://doi.org/10.5281/zenodo.18509484 |