First, give conclusions that can be used for decision-making
The objective of the audit is to answer who is to whom under what conditions the system is based on which information is being used and whether the results are manually confirmed. The log should have a unified task ID and linked to business documents, key records are protected from tampering and segregation of authority. Modelling processes are not required to audit evidence, and what really matters is to validate inputs, rules, tools and results.
What conditions need to be identified before judgement is made?
The same question may have different answers under different business, data and project phases. It is suggested that the following conditions be checked and that the common findings on the web be incorporated into their own projects.
Suggested order of advance
First, we'll be clear about the target and the border.
Events and fields that must be recorded by operational risk definition.
Validation Key Dependence
Create task ID, serial model, search, tool, approval and results.
Development of assessable outcomes
Dissensitization of sensitive fields and setting rules for access, retention and deletion.
Make sure you decide the next step with the real results.
Build a process of querying, alarming, spot checks and auditing for export.
How do you understand it in the actual business?
When AI client recommends refunds, the log should record the customer’s identity, order, applicable policy version, model output, seat modification, approval results and final refunding order. If a customer complains, it can restore business evidence, rather than see only one-stop model responses.
The easiest pit to step on.
Logs record only successful requests, not rejections and failures
Full Save Sensitive Inputs without Access Control
Versions of historical results that cannot be confirmed after models and knowledge are updated
How should we end up receiving and confirming?
The audit tests should also verify the completeness, timing, dissensitization, authority and expiry of the log.
When preparing to communicate with suppliers or internal teams, it is recommended that current processes, representative samples, existing systems, planning time and budget levels be brought. First, the unknown items are clearly marked, and then the decision is made to use diagnostics, PoC, fixed-range projects or ongoing research and development, which is usually more reliable than a direct demand for a price and duration without borders.