# Documentation, Transparency and Human Oversight — AI Safety, Evaluation and Cost Control

Source: https://www.geekswithgeeks.com/en/ai-safety/resp-documentation-oversight

> Record intended use, limits and test results, tell users they are talking to AI, and keep humans in charge of high-stakes decisions.

## Write down what it is for

Keep a short **system card** for each AI feature: what it is meant to do, what it must not be used for, the data and models behind it, evaluation results (including weak slices), known limitations and who owns it. **Tell users** they are interacting with AI and how reliable it is. For decisions that significantly affect people, such as loans, hiring, health or discipline, keep a **human decision-maker** who can review and override the system, and keep a record of why the decision was made.

## A system card outline

One page is enough to start. Keep it next to the code and update it when the system changes.

```text
Name / owner         Support assistant v3 / Customer Care team
Intended use         answer questions from the published help centre
Not for              legal, medical or financial advice; account changes
Model + data         <model name>; help-centre articles (updated weekly)
Evaluation           250 cases; 91% grounded-correct; Hindi slice 84% (gap noted)
Safeguards           PII masking, moderation, grounding check, rate limits
Human oversight      low-confidence answers go to an agent
Known limits         weaker on mixed Hindi-English; may miss recent changes
```

## Disclose AI use clearly

A short label such as "AI assistant: answers may contain mistakes, check important details" sets correct expectations and reduces over-reliance.

**Quiz:** Who should make high-stakes decisions such as loan approval?

- [ ] The AI alone, always
- [x] A human who can review and override the AI
- [ ] A random number generator
- [ ] Nobody

*Answer:* A human who can review and override the AI. Significant decisions need accountable human oversight and a record of reasons.