Methodological stress-testing
Put assumptions, outputs and safeguards under pressure.
The professional translation of methodological work on scope, authority, provenance and revision.
This page presents the AI-specialized part of the Aksoydan Laboratory’s professional offering. The general presentation is available under Work / Services.
We assess not only what an AI system can do, but also what it is justified in doing, with which information, within what scope, and with what actual capacity for revision.
AI RESEARCH ≠ AI OFFERING.
Put assumptions, outputs and safeguards under pressure.
Distinguish capability, permission, authority and action.
Track sources, dependencies and the effects of corrections.
Examine actual updating rather than merely its declaration.
Make visible the decisions that must remain human.
Examine prototypes, copilots and agents in their context of use.
The AI Usage Permission Diagnostic is one possible format among several. The scope may also take the form of a methodological review, a stress test, provenance mapping or an examination of revisability.
A scenario, a prototype, documentation, prompts, business rules, traces, examples of decisions or problematic cases. The scope is defined before the examination so that available information can be distinguished from what is missing.
POSSIBLE DELIVERABLE ≠ GUARANTEED RESULT.
DIAGNOSTIC ≠ CERTIFICATION.
OBSERVED GAP ≠ ILLEGALITY.
COMPLIANCE GUARD ≠ OVERALL SECURITY.
A methodological review is neither a legal or regulatory audit nor a cybersecurity audit. It does not replace the necessary scientific, legal, regulatory or security expertise.