> For clean Markdown of any page, append .md to the page URL.
> For a complete documentation index, see https://docs.umnai.com/concepts/explanation-workflows/llms.txt.
> For AI client integration (Claude Code, Cursor, etc.), connect to the MCP server at https://docs.umnai.com/_mcp/server.

# Explanation workflows

## Docs

- [Explanation workflows](https://docs.umnai.com/concepts/explanation-workflows/overview.md): Understand how explanation components support practical analysis and decisions.
- [Model behaviour](https://docs.umnai.com/concepts/explanation-workflows/model-behaviour.md): Use rules and module dependency plots to inspect how a model behaves.
- [Identifying bias](https://docs.umnai.com/concepts/explanation-workflows/identifying-bias.md): Use control swaps, attributions, and MDPs to inspect bias in predictions and models.
- [Justifying attribution explanations](https://docs.umnai.com/concepts/explanation-workflows/justifying-attribution-explanations.md): Use activated rules to explain why an attribution was produced.
- [Identifying data segments](https://docs.umnai.com/concepts/explanation-workflows/identifying-data-segments.md): Use rule conditions to understand the behavioural segments discovered by induction.
- [Identifying and addressing low data coverage](https://docs.umnai.com/concepts/explanation-workflows/identifying-and-addressing-low-data-coverage.md): Use histograms and activations to find sparse regions and decide how to handle them.
- [Model monitoring](https://docs.umnai.com/concepts/explanation-workflows/model-monitoring.md): Use activation data to detect drift, deviations, and unusual deployed-model behaviour.
- [Model optimisation](https://docs.umnai.com/concepts/explanation-workflows/model-optimisation.md): Use explanations to guide feature selection and module creation.
- [Real-time explanations](https://docs.umnai.com/concepts/explanation-workflows/real-time-explanations.md): Understand how predictions and explanations are returned together at inference time.
- [Audit logs](https://docs.umnai.com/concepts/explanation-workflows/audit-logs.md): Use explanation results as records for transparency, accountability, and reconstruction.