PrivacyBuilt / Guided task

Review an AI use case

Understand the inputs, provider and people affected before adopting AI.

01 / Prepare

Bring the right context

A plain-language description of the use case and its owner.
Data categories, intended users and provider terms—not real personal data or confidential prompts.
The proposed purpose, access model and human review arrangements.

Use descriptions and evidence references; do not put personal data, credentials or confidential source material into public tools.

02 / Review

Use the tools with judgement

Would you upload this to AI?

6 minutes

Practise judging everyday AI inputs. This individual learning exercise is not approval for a real use case.

Open Would you upload this to AI?

DPIA triage

3 minutes

Screen the proposed processing for impact-assessment concerns; validate the result against relevant law.

Open DPIA triage

03 / Learn

Build the reasoning behind the review

Intermediate · 4 hours · Free training

AI Privacy and Data Readiness

Learn how to identify sensitive-data risks, assess AI tools, reduce unsafe data exposure and build practical AI-governance controls.

View course

Intermediate · 5 hours · Free training

EU AI Act Practitioner for Privacy Teams

Translate the EU AI Act into an operational inventory, role map, classification method, evidence set and implementation plan for privacy and governance teams.

View course

04 / Act

Take a working record into your team

A documented use-case review with data boundaries, open questions and an accountable decision owner.

Download task checklist (.md)

Markdown text file · No email required · Adapt to your context

Supporting templates and guidance

AI Privacy Risk Checklist

A pre-adoption AI checklist with priority, owner role and required evidence for every check, plus approval criteria and a worked example.

Before you close the task

Record intended use, data restrictions and provider evidence.
Assign unresolved risks to owners and escalate where necessary.
Agree conditions, review triggers and a human decision before rollout.

Continue with another task

Assess a data-handling vendor Prepare a DPIA Plan sensitive-data discovery