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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