Course Outline

Understanding AI and Machine Learning for Government

  • Definition of Artificial Intelligence (AI) and its scope
  • Machine Learning as a subset of AI
  • Types of AI: weak, strong, generative, supervised, and unsupervised

AI in Practice Across the Organization for Government

  • Current applications of AI/ML within business functions
  • Automation, decision support, customer service, and analytics
  • Use cases in Human Resources, finance, operations, and compliance

Common Governance Challenges for Government

  • Conflicts with Data Protection Principles
  • Ensuring lawfulness, fairness, and transparency in automated decision-making
  • Maintaining accuracy, data minimization, and storage limitations

Foundations in Information and Data Management for Government

  • Information and records management in AI contexts
  • The importance of metadata and audit trails
  • Ensuring data quality and integrity for training datasets

Approaching Information Governance Challenges for Government

  • Designing governance controls for AI/ML pipelines
  • Human oversight and explainability in decision-making processes
  • Building cross-functional governance teams to enhance collaboration

Conducting DPIAs for AI/ML in Government

  • Legal requirements and purpose of Data Protection Impact Assessments (DPIAs)
  • Steps to assess proposed AI/ML implementations
  • Documenting risk assessments, mitigations, and justifications

Governance Frameworks and Risk Management for Government

  • Overview of AI-specific governance frameworks
  • Approaches from ISO, NIST, ICO, and OECD
  • Development and maintenance of risk registers and policy documentation

Culture, Integration, and Related Frameworks for Government

  • Embedding a culture of responsible AI use within government agencies
  • Linking AI governance with cybersecurity, ethics, and ESG policies
  • Continuous improvement and monitoring of AI practices

Summary and Next Steps for Government

Requirements

  • An understanding of organizational information governance policies for government
  • Familiarity with data protection or privacy regulations
  • Some exposure to AI or machine learning concepts is beneficial

Audience

  • Information governance professionals for government
  • Data protection officers and compliance managers for government
  • Digital transformation or IT governance leads for government
 7 Hours

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