Course Outline

Artificial Intelligence in Government: Strategic and Legal Perspectives

  • Adoption of AI in core government functions: opportunities and risks for government
  • Executive responsibility in AI governance for government
  • High-risk AI systems and organizational exposure for government

AI Risk Classification and Global Regulatory Landscape

  • EU AI Act: risk tiers, requirements, and penalties relevant to government operations
  • U.S. Executive Order on AI and emerging federal and state regulations for government
  • Compliance with GDPR, HIPAA, and other frameworks in the context of AI for government
  • Overview of ISO/IEC 42001, NIST AI RMF, and OECD AI Principles for government

Security and Oversight of AI Systems for Government

  • AI security posture: threats, vulnerabilities, and safeguards for government systems
  • Incident response and breach notification in AI-driven workflows for government
  • Auditing and traceability of model inputs, decisions, and outputs for government

Responsible AI Procurement and Vendor Risk Management for Government

  • Due diligence when sourcing AI tools (including large language models and APIs) for government use
  • Key contract elements: data ownership, model explainability, service level agreements (SLAs) for government
  • Evaluating vendor claims: bias mitigation, privacy guarantees, and safety for government

Internal Governance Frameworks and Organizational Controls for Government

  • Creating AI use policies across departments for government
  • Establishing ethics committees, risk review boards, and cross-functional oversight for government
  • Training, documentation, and compliance integration for government

Use Case Evaluation and Risk Scenarios for Government

  • Assessing high-impact use cases (e.g., HR screening, financial scoring, customer service bots) in government operations
  • Tools and templates for AI risk assessments for government
  • Scenarios: misalignment, drift, hallucination, discrimination in government applications

Emerging Trends and Future Considerations for Government

  • Anticipating regulatory evolution and global convergence in AI for government
  • GenAI-specific risks and governance extensions for government
  • Responsible scaling of AI operations in government agencies

Summary and Next Steps for Government

Requirements

  • Knowledge of enterprise risk, legal, or technology frameworks for government
  • Experience in executive leadership, cybersecurity, or compliance oversight within the public sector
  • No prior technical knowledge of AI development is necessary

Audience

  • Chief Information Security Officers (CISOs) for government agencies
  • Legal counsel and compliance officers in the public sector
  • Chief Technology Officers (CTOs) for government organizations
 14 Hours

Number of participants


Price per participant

Runs with a minimum of 4 + people. For 1-to-1 or private group training, request a quote.

Testimonials (1)

The profesional knolage and the way how he presented it before us

Miroslav Nachev - PUBLIC COURSE
Course - Cybersecurity in AI Systems

Upcoming Courses

AI Governance, Compliance, and Security for Enterprise Leaders

2026-02-23 09:30
14 hours
Columbia, SC – Regus at Meridian Building
$ 2703 (Online)
$ 3903 (Classroom)

AI Governance, Compliance, and Security for Enterprise Leaders

2026-03-09 09:30
14 hours
Charlotte, NC – City Center
$ 2703 (Online)
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AI Governance, Compliance, and Security for Enterprise Leaders

2026-03-23 09:30
14 hours
Augusta, GA – At Broad Street
$ 2703 (Online)
$ 3903 (Classroom)

AI Governance, Compliance, and Security for Enterprise Leaders

2026-04-06 09:30
14 hours
Charleston, SC – Regus at Downtown Charleston
$ 2703 (Online)
$ 3903 (Classroom)

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