What does the score mean?

The score is a relative privacy-risk indicator from 0 (low) to 100 (high) for a proposed AI feature. It is meant for triage and prioritisation — a high score signals that the feature likely needs a full data protection impact assessment and stronger safeguards before it ships.

Is this a substitute for a DPIA?

No. It is a lightweight screening tool that helps you decide whether a formal DPIA is warranted and where to focus it. A high score, processing of special-category data, or large-scale profiling are strong indicators that a full DPIA — and likely DPO involvement — is required.

What are the five dimensions?

Data sensitivity (how personal or special-category the data is), retention risk (how long and how identifiably it is kept), third-party exposure (sharing with external AI providers and transfers), user control (consent, opt-out, access, deletion), and automated profiling (decisions made about people). Each is scored separately so you can target fixes.

How should I use the dimension breakdown?

Treat the highest-scoring dimension as your first work item. If third-party exposure is high, add contractual no-training terms; if automated profiling is high, add human review and an Article 22 notice; if user control is low, add consent and deletion controls.

Is anything I enter sent anywhere?

No. The questionnaire is scored entirely in your browser. Your answers and the resulting score never leave the page, so you can assess unreleased features safely.

AI Privacy Impact Score

Score an AI feature’s privacy impact in five minutes

Before you build an AI feature, it helps to know how much privacy risk it carries — and where. This tool asks 20 yes/no/partial questions about the feature and returns an overall privacy impact score from 0 to 100 plus a breakdown across five dimensions: data sensitivity, retention risk, third-party exposure, user control, and automated profiling. Use it to decide whether a full DPIA is needed and which safeguards to add first. It scores everything in your browser; nothing you enter is sent anywhere.

How it works

Each question maps to one of the five dimensions and contributes weighted risk points based on your answer. Questions about special-category data and large-scale profiling carry more weight because regulators treat them as higher risk. The tool sums points per dimension, normalises each to 0–100, and combines them into an overall score. The dimension breakdown tells you not just how risky the feature is, but why — so you can target the right safeguard rather than guessing.

Tips and notes

Use it for triage, not sign-off. A high score means do a full DPIA, not that the feature is forbidden.
Special-category data raises everything. Health, biometric, and similar data should trigger extra scrutiny by default.
Fix the top dimension first. The breakdown points you straight at the cheapest, highest-impact mitigation.
Re-score after changes. Adjust safeguards and re-run to see the risk drop.