Regulated AI Navigator

Turn an AI use case into its EU AI Act risk class, the regulations it triggers, the obligations, the architecture and the evidence you owe — in about two minutes.

Community-curated knowledge graph, peer-reviewed by experts across law, engineering and governance. Every change traceable →

Analyse a use case →Browse 35 profiles

Regulation coverage

Every regulation in the graph resolves into concrete technical components — through an article obligation, a control objective, a design pattern or an evidence artefact that a component must produce. Pick a regulation to see its technical surface, how each component is derived, and in which of the triggering use cases it is actually part of the required stack. The gap counts show where the graph reaches a component that no use case yet requires — those are open contribution targets, not settled answers. Open the full graph →

EEOC / Title VII Algorithmic Fairness (US)

source eCFR

US employment-discrimination enforcement applied to algorithmic selection tools: four-fifths adverse-impact analysis, validation of selection procedures and recordkeeping.

1 components0 articles / obligations0 triggering use casesopen in graph

Bias Testing & Data Quality Pipeline

0% of use cases

Representativeness checks, bias metrics and mitigation per ISO/IEC 5259; versioned datasets with lineage.

  • named in regulationEEOC / Title VII Algorithmic Fairness (US) → Bias Testing & Data Quality Pipelineadverse-impact testing