First, give conclusions that can be used for decision-making
AI governance needs to answer five questions at the same time: who can use what data and models, what quality AI can do, what quality allows to go online, how to detect and take over when mistakes occur, how models, tips, knowledge and tools change, and by whom. An enterprise can first establish an AI application account and risk rating, designating a manager, technical officer and risk recipient. High-risk applications require more rigorous evaluation, approval and logging, and low-risk in-house support tools can use lighter processes.
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.
Development of AI applications, models, data, tools and responsible desk accounts.
Validation Key Dependence
Risk rankings are based on error consequences and data sensitivity.
Development of assessable outcomes
(b) Establish assessment, competence, takeover, log and publication mechanisms for the first application.
Make sure you decide the next step with the real results.
Re-assess and extend to other applications on a regular basis based on real events and business changes.
How do you understand it in the actual business?
The executive summary of the meeting is intended to serve only authorized staff, with basic access control and sample checks; the client service requires reference, refusal, complaint and transfer of labour; the contractual advice requires the retention of legal review and version evidence. The three applications should not use exactly the same line of entry and approval processes. The examples do not represent the performance of a particular client, and the actual conclusions need to be verified in conjunction with the enterprise’s own business volume, sample, system and liability boundaries.
The easiest pit to step on.
I wrote dozens of pages of the system without knowing what AI applications the company actually uses.
All scenarios are unified, banned or liberalized, and no risk classification
Review only model suppliers, without management tips, knowledge, tools and business processes
How should we end up receiving and confirming?
The first governance loop should answer the application manager, user privileges, data sources, model versions, evaluation results, online approval, log locations, manual takeover and incident disposal.
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.