People occasionally write to me about my research, publications and wider work on artificial intelligence, governance, technological power and resilience.
Some have questions about a paper or framework. Others want to discuss an idea, raise a point of disagreement, share related research or simply get in touch.
Every message is read.
I cannot always reply immediately, but I do my best to respond when time allows.
For research enquiries, interviews, media requests, publication-related questions or other correspondence, please use:
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Thank you for taking the time to write.
Russell Parrott
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.
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.
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whether a business can maintain critical services if access to an external AI provider is suddenly restricted or withdrawn because of provider decisions, government action, sanctions, trade restrictions or geopolitical disruption.
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.