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Course Outline

Course Introduction and Foundation Refresh

  • Reviewing course objectives, structure, and practitioner expectations
  • Revisiting the purpose and key components of the AI Project Governance Framework for government use
  • Bridging foundational concepts to practical application by practitioners

AI Governance in the Project Environment

  • Understanding the distinctions between AI-enabled projects and traditional projects
  • Identifying common governance concerns, including bias, transparency, accountability, and data management for government operations
  • Linking governance practices to project control, trust, and decision-making quality for government initiatives

Applying the Framework to Project Scenarios

  • Interpreting practitioner-level scenarios and their project context
  • Identifying governance issues, risks, and missing controls in these scenarios
  • Selecting appropriate framework responses tailored to the specific situation for government projects

Tailoring Governance Activities and Roles

  • Adapting governance strategies based on project scale, complexity, and AI risk levels for government initiatives
  • Defining appropriate governance roles, decision-making authorities, and escalation procedures for government projects
  • Balancing the pace of project delivery with responsible oversight for government operations

Managing AI Risks and Governance Controls

  • Identifying risks associated with AI models, data, and operational use in government projects
  • Assessing control gaps and areas requiring enhanced oversight for government initiatives
  • Planning practical mitigation, monitoring, and review actions for government projects

Embedding Governance into Project Artefacts

  • Incorporating AI governance requirements into project charters, plans, logs, and status reports for government use
  • Utilizing risk registers, decision records, and review checkpoints effectively in government projects
  • Ensuring traceability and readiness for internal reviews or audits for government operations

Practical Decision-Making Workshop

  • Evaluating response options in realistic project scenarios for government initiatives
  • Making well-justified and proportionate governance decisions for government projects
  • Communicating decisions clearly to stakeholders and oversight groups in government settings

Scenario Practice, Review, and Next Steps

  • Working through sample practitioner cases with guided discussions for government applications
  • Reviewing common mistakes and effective response strategies for government projects
  • Planning additional practice and preparation for certification assessment in government contexts

Requirements

  • Knowledge of the AI Project Governance Framework at a foundational level
  • Experience in project delivery, governance, risk management, compliance, audit, or assurance activities for government and other public sector entities
  • Basic professional experience applying project management practices in a business environment

Audience

  • Project managers, program managers, and PMO professionals
  • Governance, risk, compliance, audit, and assurance professionals
  • Business leaders, product owners, and specialists involved in AI-enabled projects for government and other public sector organizations
 14 Hours

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