A public reference standard that defines AI governance as a measurable structural condition, moving beyond policy statements to test whether control, accountability, traceability and integrity can be demonstrated in practice across the AI lifecycle.
Learn about The Standardized Definition of AI Governance
Parrott, R. (2025) “The Standardized Definition of AI Governance”. Self-published via Zenodo. Available at: https://doi.org/10.5281/zenodo.17505286
A quantitative AI governance metric designed to measure how much of an AI system remains provable when models, APIs, vendors or other upstream dependencies change. ERR focuses on traceability, reconstructability, version fidelity and dependency proof to assess whether governance can survive change.
Learn about the Evidential Resilience Ratio Test
Parrott, R. (2025) “Evidential Resilience Ratio”. Zenodo. Available at: https://doi.org/10.5281/zenodo.17799428
The Business AI Governance Test is a practical YES/NO checklist designed to establish whether the protections surrounding a business's use of artificial intelligence can actually be demonstrated in practice rather than relying only on policies, contracts, provider claims or technical safeguards.
Learn about The Business AI Governance Test
Parrott, R. (2026) “The Business AI Governance Test”. Zenodo. Available at: https://doi.org/10.5281/zenodo.23100153
A practical governance test examining whether a business can maintain critical services if access to an external AI provider is suddenly restricted or withdrawn because of provider decisions, government action, sanctions, trade restrictions or geopolitical disruption.
Learn about External AI Withdrawal and Geopolitical Disruption Test
Parrott, R. (2026) “External AI Withdrawal and Geopolitical Disruption Test”. Zenodo. Available at: https://doi.org/10.5281/zenodo.22844995
A public reference framework for testing whether important AI protections actually work in practice, focusing on control, accountability, business dependence and effective oversight rather than relying on policies, promises or formal safeguards alone.
Learn about The AI Protection Tests
Parrott, R. (2026) “The AI Protection Tests”. Zenodo. Available at: https://doi.org/10.5281/zenodo.23012740
A practical business checklist examining why intervention in AI use may become necessary, what it is intended to protect and whether the organisation retains the authority, information and practical ability to act before consequences become unmanageable.
Learn about The Business Intervention Test
Parrott, R. (2026) “The Business Intervention Test”. Zenodo. Available at: https://doi.org/10.5281/zenodo.23100153