Role-Based Programme
RB1633

AI-Powered Data Privacy & Data Protection

Smarter Privacy Assessments, Compliance Monitoring & Data Governance

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Duration
8 Hours
Level
Basic
Delivery
Instructor-Led
Format
Workshop

Programme Objectives

  • Understand how AI can support Data Privacy and Data Protection activities across policy review, data mapping, privacy assessment, incident support, and compliance monitoring.
  • Apply AI-assisted techniques to analyse privacy notices, data inventories, processing activities, consent records, vendor information, and supporting documents.
  • Use structured prompting for privacy-risk identification, data-flow analysis, policy comparison, issue review, and management reporting.
  • Explore AI-supported approaches for identifying privacy gaps, high-risk processing activities, incomplete records, and recurring compliance issues.
  • Build responsible AI-assisted privacy workflows while maintaining confidentiality, personal-data protection, legal accuracy, governance, and human oversight.

Tools covered

Generative AI AssistantsAI Search & ResearchDocument AIPrivacy Policy AnalysisData Mapping SupportSpreadsheet & Data AnalysisCompliance Monitoring AIWorkflow Automation

Who should attend

  • Data Privacy Professionals
  • Data Protection Officers
  • Privacy Analysts
  • Privacy Compliance Executives
  • Legal Executives
  • Compliance Professionals
  • Data Governance Professionals
  • Information Governance Professionals
  • Risk & Compliance Professionals
  • Privacy Operations Professionals
  • Vendor Privacy Review Professionals
  • Information Security Governance Professionals
  • Legal & Privacy Managers
  • Data Privacy & Data Protection Team Leads

Prerequisites & Participant Readiness

  • Basic understanding of Data Privacy, Data Protection, Legal, Compliance, or Information Governance activities
  • Familiarity with privacy notices, data inventories, consent, personal data, or vendor assessments is helpful
  • Basic computer, spreadsheet, and document-handling skills
  • No AI or programming knowledge required
  • No previous AI training required

TOC Modules

Concepts
  • Understanding Generative AI and its relevance to privacy and data-protection work
  • Identifying AI applications across privacy review, data mapping, compliance monitoring, and reporting
  • Understanding AI assistance versus legal, privacy, and management judgement
  • Recognising limitations such as hallucinations, incomplete context, bias, and unsupported legal interpretations
Practical activities
  • Mapping a typical Data Privacy & Data Protection workflow
  • Identifying repetitive and information-intensive privacy activities suitable for AI assistance
  • Comparing a traditional privacy task with an AI-assisted approach

Scenarios

New Data Processing Activity to Privacy Risk Review

Business Process → Personal Data Identification → AI-Assisted Data Mapping → Purpose & Recipients → Privacy Risks → Controls → Review Questions → Privacy Assessment

Participants use AI to analyse a sample processing activity, map personal-data flows, identify potential privacy risks, and prepare a structured review for authorised Privacy or Legal assessment.

Privacy Issue to Monitoring & Management Report

Privacy Issue → Factual Summary → Data & Systems Involved → Risk Assessment → Corrective Actions → Ownership → Tracking → Management Report

Participants use AI to structure a sample privacy issue, identify required follow-up, support remediation tracking, and prepare a management-ready privacy report while retaining final legal and regulatory determinations with authorised professionals.

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