AI Risk Management and Security in the Public Sector Training Course
Course Outline
Understanding AI-Specific Risk in Government Settings
- How AI risk differs from traditional IT and data risk for government operations
- Categories of AI risk: technical, operational, reputational, and ethical considerations for government
- Public accountability and risk perception in the context of government services
AI Risk Management Frameworks
- NIST AI Risk Management Framework (AI RMF) for government use
- ISO/IEC 42001:2023 — AI Management System Standard applicable to government agencies
- Other sector-specific and international guidance, such as OECD and UNESCO recommendations, relevant for government
Security Threats to AI Systems
- Adversarial inputs, data poisoning, and model inversion in government systems
- Exposure of sensitive training data within government contexts
- Supply chain and third-party model risks for government operations
Governance, Auditing, and Controls
- Human-in-the-loop and accountability mechanisms for government AI implementations
- Auditable AI: documentation, versioning, and interpretability in government settings
- Internal controls, oversight roles, and compliance checkpoints for government agencies
Risk Assessment and Mitigation Planning
- Building risk registers for AI use cases within government programs
- Collaborating with procurement, legal, and service design teams in government
- Conducting pre-deployment and post-deployment evaluations for government AI systems
Incident Response and Public-Sector Resilience
- Responding to AI-related incidents and breaches in government operations
- Communicating with stakeholders and the public regarding AI risks for government services
- Embedding AI risk practices in cybersecurity playbooks for government agencies
Summary and Next Steps
Requirements
- Experience in IT operations, risk management, cybersecurity, or compliance within government entities
- Knowledge of organizational security practices and digital service delivery for government
- No prior technical expertise in AI systems is necessary
Audience
- Government IT teams responsible for digital services and systems integration
- Cybersecurity and risk management professionals in public sector organizations
- Audit, compliance, and governance personnel in the public sector
Runs with a minimum of 4 + people. For 1-to-1 or private group training, request a quote.
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Testimonials (1)
Training and examples
Szymon Rock - Koenig & Bauer (CEE) Sp. z o.o.
Course - AI Tools for Administrative Efficiency (ChatGPT, Copilot, Gemini)
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