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In brief.
AI systems are criticised for being “black boxes”, impossible to explain from the inside. That is true, and true of every large model, whoever the provider: demanding transparency over their billions of parameters is a dead end. Aviation offers the right model: you do not explain a flight by inspecting every rivet, you explain it because everything is recorded and replayable. The right requirement is not model transparency, it is system transparency: log, source, version, reconstruct.
The false debate and the real one
The false one: “is your AI explainable?”, understood as “can you justify every neuron?”. Nobody can, and that is not what an auditor is asking. The real one: “can you reconstruct, for any answer produced, the complete chain that led to it?”. Which file went in, which version of the system, which sources were consulted, which score, which human approved, and when. Exactly the function of the flight recorder: making the event reconstructable, not making the physics of the engine transparent.
The purchasing criteria that follow
Complete, timestamped logs of every processing run; systematic sourcing linking each statement to a document, a page, a version; versioning of models and configurations; replayability, or failing that a documented explanation of differences; a known execution environment, which rules out architectures where inference is sent off to a remote interface whose version and pipeline are not inspectable. And finally, be wary of explainability promises reduced to a generated sentence that “explains” the answer: that is a plausible explanation, not a record.
The Optivalue.ai approach
Optivalue.ai applies the aviation model: every processing run logged, every answer sourced and versioned, inference executed in a known environment (on your premises or on a sovereign cloud), the whole thing replayable. Recorded, reconstructable, defensible.
Can an AI model be made transparent at the level of its weights?
No, not at the scale of large models; that is why the useful requirement bears on the system, not the model.
What is system transparency?
Logs, sources, versions, a known execution environment, replayability: everything that makes it possible to reconstruct an answer.
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