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Duration 7 hours
Course Outline
Understanding AI-Specific Risks in Government Environments
- Distinguishing AI risks from traditional IT and data risks.
- Categorizing AI risks into technical, operational, reputational, and ethical domains.
- Managing public accountability and risk perception within government contexts.
AI Risk Management Frameworks
- The NIST AI Risk Management Framework (AI RMF).
- ISO/IEC 42001:2023 — the standard for AI Management Systems.
- Additional sector-specific and international guidance from bodies like the OECD and UNESCO.
Security Threats to AI Systems
- Adversarial inputs, data poisoning, and model inversion techniques.
- Preventing the exposure of sensitive training data.
- Managing supply chain and third-party model risks.
Governance, Auditing, and Controls
- Implementing human-in-the-loop mechanisms and accountability structures.
- Ensuring auditable AI through documentation, versioning, and interpretability.
- Establishing internal controls, oversight roles, and compliance checkpoints.
Risk Assessment and Mitigation Planning
- Creating risk registers specific to AI use cases.
- Collaborating effectively with procurement, legal, and service design teams.
- Conducting evaluations both prior to and following deployment.
Incident Response and Public-Sector Resilience
- Responding effectively to AI-related incidents and breaches.
- Communicating transparently with stakeholders and the public.
- Integrating AI risk practices into cybersecurity playbooks.
Summary and Next Steps
Requirements
- Practical experience in IT operations, risk management, cybersecurity, or compliance within government institutions.
- A working familiarity with organizational security practices and digital service delivery.
- No prior technical expertise in AI systems is required.
Target Audience
- Government IT teams engaged in digital services and systems integration.
- Cybersecurity and risk professionals working within public institutions.
- Public sector personnel responsible for audit, compliance, and governance.
Testimonials (1)
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