Method

EthosGate Methodology | Governed AI Evaluation

EthosGate methodology is a structured way to examine a proposed AI action for evidence integrity, human autonomy, societal effects, uncertainty, and accountability before it is advanced.

A practical evaluation sequence

The framework sequence is: understand the request, establish factual confidence, examine autonomy and societal effects, apply ethical constraints, compare alternatives, select a bounded outcome, record the reason, and observe consequences. It prioritizes useful intelligence subject to ethical invariants.

How uncertainty changes the answer

When facts are incomplete, a useful system should not silently convert assumptions into facts. The appropriate move may be to ask for evidence, narrow the action, make the decision reversible, or route it to human review.

For example, before an agent sends a public statement about a person, the methodology asks whether the source is reliable, whether harm can be undone, and whether a less harmful alternative is available.

Method boundary

This is a governance methodology, not legal advice, a universal risk model, or proof of ethical correctness. EthosGate does not claim that the current product independently retrieves all needed context or learns continuously from past decisions.

    EthosGate Methodology | Governed AI Evaluation