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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 into technical, operational, reputational, and ethical categories.
- Understanding public accountability and the perception of risk in government contexts.
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, such as those from OECD and UNESCO.
Security Threats Targeting AI Systems
- Addressing adversarial inputs, data poisoning, and model inversion.
- Preventing the exposure of sensitive training data.
- Managing risks associated with supply chains and third-party models.
Governance, Auditing, and Controls
- Establishing human-in-the-loop oversight and accountability mechanisms.
- Ensuring auditable AI through proper documentation, versioning, and interpretability.
- Implementing internal controls, defining oversight roles, and setting 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 Public-Sector Resilience
- Handling AI-related incidents and data breaches.
- Communicating effectively with stakeholders and the general public.
- Integrating AI risk practices into existing cybersecurity playbooks.
Recap and Future Actions
Requirements
- Background in IT operations, risk management, cybersecurity, or compliance within government bodies.
- Familiarity with organizational security protocols and digital service delivery.
- No prior technical expertise in AI systems is necessary.
Target Audience
- Government IT teams engaged in digital services and system integration.
- Cybersecurity and risk specialists within public institutions.
- Personnel responsible for audit, compliance, and governance in the public sector.
Testimonials (1)
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