Lesson 33 of 38 · Written learning
Privacy, bias, and responsible release
Document what the system can do, what it cannot do, and what risks remain.
Ask whether each data field is necessary, whether the user understands its use, and how long it should be retained. Copyright and license terms apply to training data, documents, model weights, and generated outputs in different ways; do not assume one permission covers everything. Bias can arise from data, design choices, and unequal error impact.
Make limitations legible
Accessibility includes interfaces that work for different abilities, devices, and ways of communicating. Documentation should describe intended use, tested cases, known failure modes, data handling, model versions, and the person or process responsible for response when something goes wrong. A limited release should have explicit boundaries and a plan to monitor problems.
- Use a risk register or concise model/system card to make assumptions visible.
- Test performance across relevant groups and situations where lawful and appropriate.
- Offer a way to correct or report a harmful failure when users are affected.
- Revisit documentation when the model, data, prompt, tools, or deployment changes.
Return to the Evaluation, security, and responsible AI stage · Suggested timing is flexible; move at your own pace.