Privacy Impact Assessment Workflow for AI Projects

A practical workshop to assess privacy risks in AI projects, develop mitigations, and create a clear PIA decision briefing for stakeholders. A Privacy Impact Assessment can feel complicated when you are dealing with AI, unfamiliar data flows, and multiple stakeholders. The challenge is not only identifying privacy risks, but knowing how to assess them, develop practical mitigations, and present clear recommendations to decision-makers. This practical workshop gives you a structured, hands-on way to work through a Privacy Impact Assessment (PIA) for an AI project. Using a fictional or approved case, you will move from initial screening through to risk analysis, consultation, mitigation, and decision briefing. Rather than focusing on theory alone, you will build a practical set of PIA resources that you can adapt and use for future AI initiatives. Who this is for This session is built for professionals involved in privacy, risk, governance, projects, and AI implementation: • Privacy and risk practitioners • Project and programme professionals • Data governance and compliance teams • AI governance and assurance practitioners • Legal, policy, and information management professionals No previous PIA experience is required. What we will do together • Identify when a PIA is required: Learn how to recognise privacy assessment triggers in AI projects, including changes that introduce new risks during implementation. • Map personal information flows: Trace how personal information is collected, processed, stored, accessed, and shared across an AI project. • Assess and prioritise risk: Complete threshold screening and use a structured risk grid to identify key privacy concerns and assess their significance. • Plan consultation: Identify relevant stakeholders and determine what input is needed, when it should happen, and how it should inform the assessment. • Develop practical mitigations: Turn privacy risks into clear actions and controls that project and operational teams can realistically implement. • Prepare the decision briefing: Summarise the assessment, key risks, mitigations, and recommendations into a concise briefing for decision-makers. What you will take home • A completed draft PIA workbook • A practical privacy risk grid • A mitigation register • A concise PIA decision briefing • A repeatable workflow you can apply to future AI projects Good to know Please bring your laptop. You can work with a fictional or approved case, so there is no need to bring sensitive personal information. No prior PIA experience is required. This session provides general information current at the date of delivery and does not constitute legal advice. ========================================== Refund and Cancellation Policy Cancellation Windows • 14+ days before: Full transfer to another session or course credit (less platform fees). Refunds are at WA AI Hub’s discretion and may incur an admin fee. • 7–13 days before: Transfer or credit only, subject to availability. No cash refunds for change-of-mind. • Less than 7 days before: No refunds, credits, or transfers for change-of-mind. Exceptional circumstances considered at our discretion. • No-show/Partial attendance: No refund or credit is provided, except as required by Australian Consumer Law. Substitutions & Changes • Substitutions: Permitted up to 24 hours before the session. Please provide attendee details in writing. • Organiser Changes: If we cancel or significantly reschedule, you will receive a full transfer, credit, or refund per Australian Consumer Law. Our services include guarantees that cannot be excluded under Australian Consumer Law. Platform fees may be non-refundable if retained by the third-party provider. How to request a remedy Email Junita at [email protected] or call (08) 6156 4865. Include your name, session title, and booking reference. By registering, you acknowledge this policy and your statutory rights under Australian Consumer Law. #PrivacyImpactAssessment #AIPrivacy #AIGovernance #DataPrivacy #ResponsibleAI #PrivacyByDesign #DataGovernance #AICompliance #AIRiskManagement #AIProjects