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Course Outline
AI in the Enterprise: Strategic and Legal Perspectives
- AI adoption in core business functions: opportunities and risks
- Executive responsibility in AI governance
- High-risk AI systems and organizational exposure
AI Risk Classification and Global Regulatory Landscape
- EU AI Act: risk tiers, requirements, penalties
- U.S. Executive Order on AI and emerging federal/state rules
- AI-related compliance within GDPR, HIPAA, and other frameworks
- Overview of ISO/IEC 42001, NIST AI RMF, OECD AI Principles
Security and Oversight of AI Systems
- AI security posture: threats, vulnerabilities, and safeguards
- Incident response and breach notification in AI-driven workflows
- Auditing and traceability of model inputs, decisions, and outputs
Responsible AI Procurement and Vendor Risk
- Due diligence when sourcing AI tools (including LLMs and APIs)
- Key contract elements: data ownership, model explainability, SLAs
- Evaluating vendor claims: bias mitigation, privacy guarantees, safety
Internal Governance Frameworks and Organizational Controls
- Creating AI use policies across departments
- Ethics committees, risk review boards, and cross-functional oversight
- Training, documentation, and compliance integration
Use Case Evaluation and Risk Scenarios
- Assessing high-impact use cases (e.g., HR screening, finance scoring, customer service bots)
- Tools and templates for AI risk assessments
- Scenarios: misalignment, drift, hallucination, discrimination
Emerging Trends and Future Considerations
- Anticipating regulatory evolution and global convergence
- GenAI-specific risks and governance extensions
- Responsible scaling of AI operations in the enterprise
Summary and Next Steps
Requirements
- An understanding of enterprise risk, legal, or technology frameworks
- Experience in executive leadership, cybersecurity, or compliance oversight
- No prior technical knowledge of AI development is required
Audience
- Chief Information Security Officers (CISOs)
- Legal counsel and compliance officers
- Chief Technology Officers (CTOs)
14 Hours
