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Course Outline
Understanding AI-Specific Risks in Government Environments
- Distinguishing AI risks from traditional IT and data security risks.
- Categorizing 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.
- Other sector-specific and international guidelines (e.g., OECD, UNESCO).
Security Threats Targeting AI Systems
- Adversarial inputs, data poisoning, and model inversion attacks.
- Potential leakage of sensitive training data.
- Risks associated with supply chains and third-party models.
Governance, Auditing, and Control Mechanisms
- Implementing human-in-the-loop oversight and accountability structures.
- Ensuring auditable AI through proper documentation, versioning, and interpretability.
- Establishing internal controls, defining oversight roles, and setting compliance checkpoints.
Risk Assessment and Mitigation Strategies
- Creating risk registers for specific AI use cases.
- Coordinating with procurement, legal, and service design teams.
- Performing evaluations both before and after AI deployment.
Incident Response and Public-Sector Resilience
- Managing AI-related incidents and security breaches effectively.
- Communicating transparently with stakeholders and the general public.
- Integrating AI risk practices into existing cybersecurity playbooks.
Summary and Path Forward
Requirements
- Background in IT operations, risk management, cybersecurity, or compliance within government entities.
- Knowledge of organizational security protocols and digital service delivery mechanisms.
- No previous technical expertise in AI systems is required.
Target Audience
- Government IT teams managing digital services and system integrations.
- Cybersecurity and risk specialists working within public institutions.
- Personnel responsible for audit, compliance, and governance in the public sector.
7 Hours
Testimonials (1)
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