Faculty of Social Sciences

Sagicor Cave Hill School of Business and Management

Executive Education

AI Governance and Risk Management Certificate

Registration is Open

Programme Overview

Operationalising Trustworthy AI: Risk Mitigation and Regulatory Readiness

AI is transforming how businesses operate. But without strong governance, it can just as easily expose your organisation to catastrophic risk.

From automated credit decisions and hiring algorithms to generative AI tools and predictive analytics, artificial intelligence is now at the heart of enterprise operations. But as AI systems scale, so do the risks—to reputation, compliance, and stakeholder trust. Governance isn’t a formality, it’s a differentiator!

The AI Governance and Risk Management Certificate is your opportunity to build the competencies that top organisations are prioritising right now. This intensive, hands-on programme gives you the practical tools, regulatory frameworks, and operational strategies to confidently govern AI across your enterprise and turn trust into a competitive edge.

You’ll learn how to to map and prioritise AI risks, embed controls throughout the AI lifecycle, and implement scalable, cross-functional governance operating models. This immersive, hands-on programme goes beyond theory; empowering you to translate principles into policy, policies into practice, and practices into performance. Drawing on insights from real-world governance challenges, the programme blends legal, technical, and strategic perspectives to develop enterprise-ready leaders who can safeguard public trust, reduce exposure, and maximise the responsible value of AI

Programme Objectives

  • Upon successful completion of this programme, participants will be able to:
    • Deploy governance frameworks that scale with AI maturity and complexity.
    • Apply risk mapping and control strategies across the model lifecycle.
    • Operationalise fairness, transparency, and explainability using practical toolkits.
    • Prepare for external audits and compliance mandates, with hands-on guidance aligned to emerging legislation.
    • Lead governance across business units, aligning technical teams, legal, compliance, and risk with a single strategy.
    • Respond to real-world scenarios involving bias, model drift, hallucination, or reputational risk with tested mitigation plans

     

At a Glance

Course Duration:

February 16 - 20, 2026

Times:

9:00am – 1:00pm AST

Certificate Awarded:

Professional Development Certificate of Competence

Cost:

US $2,500.00 US $1,750.00

Register and pay 50% by January 31, 2026 and receive 30% off!

Special Offers: Contact us for special group rates!

Registration Deadline:

Modality:

Online

Contact Us Today


Direct Contacts

Wanda Monrose
wanda.monrose@cavehill.uwi.edu

Additional Information

Your Roadmap to Responsible AI 

  • Foundations of AI Governance in an Evolving Risk Landscape
    • AI Governance: Framing the Need for Oversight in High-Velocity Innovation
    • Overview of Global AI Regulations: EU AI Act, U.S. Executive Order, OECD, ISO, and Industry-specific Guidance
    • Understanding the Lifecycle of AI Risks: From Design and Data to Deployment and Impact
    • AI as a Socio-Technical System: The Human and Legal Layers of Responsibility
    • Mapping Roles and Accountability: Who Owns the Risk in AI Initiatives?
  • AI Risk Identification, Classification, and Materiality Assessment
    • Categories of AI Risk: Bias, Explainability, Robustness, Privacy, Misuse, System Drift, IP, and Model Collapse
    • High-Risk vs. Minimal-Risk Systems: Interpreting Regulatory Thresholds
    • Risk Materiality in AI: How to Assess Harm, Scale, Autonomy, And Vulnerability of Stakeholders
    • Third-party AI Risk: Procurement and Vendor Oversight
  • Embedding Governance and Controls in the AI Lifecycle
    • AI System Governance Frameworks: Aligning with ISO 42001, NIST RMF, and Internal Compliance
    • AI Model Documentation and Auditability: From Model Lineage to Explainability Protocols
    • Integrating AI Oversight into Existing GRC Structures: Bridging the Gap with Audit and IT
  • Responsible AI, Bias Mitigation, and Regulatory Preparedness
    • Bias Detection Tools and Fairness Metrics
    • Data Governance for AI: Quality, Provenance, Consent, and Retention
    • Preparing for Regulatory Audits and AI Impact Assessments
  • AI Risk Strategy and Crisis Readiness
    • AI Risk Strategy and Board-Level Reporting: Escalation Protocols and Risk Appetite Thresholds
    • Managing Reputational and Legal Fallout: Crisis Response Planning for AI-Driven Failures
    • Enterprise AI Maturity Models and Capability Assessments
    • Scaling Governance across Business Units and Product Teams

 

Strategic Value to you: 

  • Position yourself as a Trusted AI Leader: Gain the technical fluency and governance expertise to confidently lead AI initiatives, influence cross-functional decisions, and advise executive leadership on responsible innovation.
  • Advance your Career in High-Demand Domains: Equip yourself with future-ready skills in AI risk, compliance, and ethical deployment.
  • Bridge the Gap Between Risk, Strategy, and Technology: Become a key translator between data science, compliance, and business strategy—able to assess AI risks, shape governance policy, and drive implementation with credibility.
  • Respond with Confidence to Regulatory Scrutiny: Understand how to operationalise legal requirements and sector-specific mandates, positioning yourself as an indispensable resource during audits and risk reviews.

 

Strategic Value to your Organisation: 

  • Reduce Regulatory, Reputational, and Operational Risk: Empower your teams to build and scale AI systems that are auditable, explainable, and aligned with global governance frameworks—mitigating exposure before it becomes a liability.
  • Accelerate Trustworthy AI Deployment: Enable faster, safer AI adoption by embedding governance-by-design across functions.
  • Strengthen Cross-Functional Governance Capability: Build institutional capacity by training leaders who can align data science, compliance, legal, and operational teams under a unified AI risk and ethics strategy.
  • Enhance Stakeholder and Board Confidence: Demonstrate proactive leadership in responsible AI by showcasing internal expertise, frameworks, and oversight mechanisms—boosting trust with investors, regulators, and the public.

Who is this Programme Tailored for? 

  • Risk, Compliance, and Governance Professionals responsible for identifying, assessing, and managing AI-related risks across legal, operational, and reputational domains.
  • IT, Cybersecurity, and Technology Leaders seeking to integrate AI risk frameworks and security protocols into enterprise systems and infrastructure.
  • AI, Data, and Machine Learning Practitioners involved in designing, deploying, and maintaining AI models and systems.
  • Strategy, Innovation, and Transformation Executives driving digital transformation and AI adoption across the organisation who must ensure it aligns with governance and business priorities.
  • Legal, Policy, and Ethics Advisors navigating the regulatory, ethical, and societal implications of AI, including those preparing for compliance with emerging global laws.
  • Consultants and Advisory Professionals supporting organisations in AI policy, governance structures, and risk mitigation strategies.

All notification of cancellations, deferrals, and substitutions must be received in writing. Please submit your request via e-mail to schsbmopen@cavehill.uwi.edu

CANCELLATIONS

  • The Sagicor Cave Hill School of Business and Management (SCHSBM) reserves the right to make changes to any printed or online information on short courses, instructors, or course information; or cancel any short course due to under-subscription or circumstances beyond its control.
  • Delegates will be notified at least seven (7) days before the start of any course that must be cancelled.
  • Fees for short courses cancelled by the SCHSBM will be refunded in full.
  • The SCHSBM will not be liable for any loss, damages or other expenses that result from course cancellations.

REFUNDS

Due to the costs incurred for program preparation and administration any cancellations received 30 days or less from the program start date are subject to fees as described below. For programs with a virtual component, the start date will be considered the first day of live learning.

Written notice of cancellation received by SCHSBM Refund
30 days or more before the start of the specific course 100% of course fees.
29 to 15 days before the start of the specific course 50% of course fees.
14 days or less before the start of the specific course No refun

Sagicor Cave Hill School of Business and Management
Contact us