AI Ethics & Governance Risk Checker

Training data quality

Do you know what data the model relies on?

Privacy controls

PII handling, retention, access policies.

Human review

How often a person checks outputs.

Safety testing

Prompt injection, jailbreaks, misuse cases.

Transparency

Do users know AI is involved and its limits?

Potential impact

Higher stakes require stronger controls.

We log issues and track incidents Users can appeal or report harmful outputs We have written usage rules for staff