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Duration 7 hours
Course Outline
Grasping AI-Specific Risks in Government Environments
- Distinguishing AI risks from conventional IT and data risks.
- Classifying AI risks: technical, operational, reputational, and ethical.
- Navigating public accountability and perceptions of risk in government.
AI Risk Management Frameworks
- The NIST AI Risk Management Framework (AI RMF).
- ISO/IEC 42001:2023 — The AI Management System Standard.
- Additional sector-specific and international guidelines (e.g., OECD, UNESCO).
Security Threats Facing AI Systems
- Understanding adversarial inputs, data poisoning, and model inversion techniques.
- Mitigating the exposure of sensitive training data.
- Managing supply chain and third-party model risks.
Governance, Auditing, and Control Mechanisms
- Implementing human-in-the-loop processes and accountability structures.
- Ensuring auditable AI through documentation, version control, and interpretability.
- Establishing internal controls, oversight roles, and compliance checkpoints.
Risk Assessment and Mitigation Strategies
- Creating risk registers for specific AI use cases.
- Collaborating with procurement, legal, and service design teams.
- Performing evaluations both prior to and following AI deployment.
Incident Response and Resilience in the Public Sector
- Managing AI-related incidents and security breaches.
- Effectively communicating with stakeholders and the general public.
- Integrating AI risk practices into existing cybersecurity playbooks.
Summary and Pathways Forward
Requirements
- Professional experience in IT operations, risk management, cybersecurity, or compliance within governmental bodies.
- A solid understanding of organizational security protocols and digital service delivery.
- No prior technical expertise in AI systems is necessary to participate.
Target Audience
- Government IT teams responsible for digital services and system integration.
- Cybersecurity and risk specialists working in public institutions.
- Personnel involved in public sector auditing, compliance, and governance.
Testimonials (1)
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