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aigovdev/ai-governance-scenarios

AI Governance Scenarios A small synthetic dataset of AI-system deployment scenarios annotated with governance-control and risk signals. The dataset accompanies the AIGov AI Governance Lab Hugging Face Space. Purpose The dataset is designed for: AI governance prototyping governance-control evaluation risk-analysis experiments testing deterministic governance heuristics responsible AI engineering demonstrations educational and portfolio use It is not intended as a… See the full description on the dataset page: https://huggingface.co/datasets/aigovdev/ai-governance-scenarios.

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AI Governance Scenarios

A small synthetic dataset of AI-system deployment scenarios annotated with governance-control and risk signals.

The dataset accompanies the AIGov AI Governance Lab Hugging Face Space.

Purpose

The dataset is designed for:

—AI governance prototyping
—governance-control evaluation
—risk-analysis experiments
—testing deterministic governance heuristics
—responsible AI engineering demonstrations
—educational and portfolio use

It is not intended as a legal or regulatory benchmark.

Schema

Each record contains:

Field	Description
id	Unique scenario identifier
use_case	Description of the AI system use case
sector	Deployment sector
impact	Potential impact level
decision_autonomy	Degree of AI decision autonomy
human_oversight	Human oversight maturity
monitoring	Post-deployment monitoring maturity
traceability	Traceability maturity
technical_documentation	Documentation maturity
governance_risk	Synthetic governance-risk label
primary_gap	Main governance weakness
notes	Short annotation explanation

Governance signals

The examples cover signals including:

—human oversight
—decision autonomy
—post-deployment monitoring
—traceability
—technical documentation
—system impact

Data creation

All examples are synthetic and manually constructed for this project.

They are not real compliance assessments and do not represent legal conclusions about any organization, product, or deployment.

Intended use

The dataset can support experiments involving:

—governance scenario classification
—risk-control mapping
—responsible AI baselines
—governance dashboards
—control-gap detection
—evaluation of governance heuristics

Relationship to AIGov AI Governance Lab

The associated AIGov AI Governance Lab converts similar observable system characteristics into a deterministic governance-engineering assessment.

This dataset provides controlled examples for testing and extending that approach.

Limitations

The dataset is intentionally small and simplified.

The governance_risk labels are engineering annotations, not regulatory classifications.

No label should be interpreted as determining compliance with the EU AI Act or any other legal regime.

Future work

Potential extensions include:

—larger scenario sets
—structured control evidence
—lifecycle events
—auditability signals
—incident and monitoring records
—human-review workflows
—governance-control taxonomies
—benchmark evaluation

AIGov

AIGov builds infrastructure for transparent, auditable, and accountable AI systems.

Website: https://govbase.dev

License

Apache-2.0