Example: sort incoming complaints

An invented example for testing the taxonomy and discussing human checks.

Invented example. No deployment or approval is claimed.

Illustrative scenario

A system reads messages, labels their subjects and suggests which staff should consider first. Use H-LISTEN, C-EXTRACT, C-CLASS and C-RANK. A summary of common themes cannot replace review of a potentially urgent complaint. The proposed record requires a route for uncertain cases, checks for missed urgent messages and a way for people to challenge how their complaint was handled. It must also explain how sensitive text is protected.

Review questions

Ask another reviewer to classify the task independently. Compare the codes and explain any disagreement. Identify the data, permissions and consequences that would need checking in a real setting.

Status

This is an invented AidGPT example. No deployment, measured benefit, DCI rating, SAFE AI tier or approval is claimed.

Sources

A. A Taxonomy for AI in Social Protection: Defining Capabilities and Application Areas

B. AI Hub Risk Assessment Framework for Social Protection: A Practical Guide to Responsible AI Deployment