top of page
PMIMCM Class.webp

CL-RAIGRC

Responsible AI for Corporate Governance, Risk & Compliance

This Responsible AI course equips governance, risk, and compliance professionals with structured frameworks to evaluate AI risks, align with global regulations, and design enterprise AI governance models that balance innovation, accountability, and regulatory compliance.

Responsible AI for Corporate Governance, Risk & Compliance is a strategic, instructor-led program designed to help GRC professionals manage the opportunities and risks introduced by artificial intelligence. As AI systems become embedded in enterprise decision-making—from predictive analytics to generative tools and autonomous agents—organizations must strengthen governance structures to ensure accountability, transparency, and regulatory alignment.


AI introduces new categories of risk that traditional control frameworks may not fully address. These include algorithmic bias, explainability limitations, hallucinations in generative models, cybersecurity vulnerabilities, and systemic supply chain exposure. This course provides a structured approach to understanding these risks and integrating AI governance into existing enterprise risk management and compliance frameworks.


Over two days, participants explore three AI paradigms—Predictive, Generative, and Agentic—and examine how each impacts governance, risk oversight, and compliance obligations. The course incorporates emerging regulatory and policy frameworks, including NIST AI RMF, the EU AI Act, Malaysia’s AIGE guidelines, and PDPA requirements. Participants learn how to interpret these frameworks and translate them into practical control mechanisms and governance structures.


What learners will gain from this course:

  • A clear understanding of AI paradigms and enterprise use cases in GRC

  • Practical insight into regulatory frameworks governing AI

  • The ability to assess AI-related risk exposures and control gaps

  • Skills to design AI governance structures and RACI matrices

  • Experience drafting responsible AI policies, audit checklists, and usage guidelines

  • Strategic awareness of the future of AI-driven GRC functions

Key learning areas include:

AI Foundations for GRC

  • Differentiating Predictive, Generative, and Agentic AI

  • Mapping AI lifecycle stages to governance and oversight requirements

  • Evaluating training pipelines, model evaluation, and deployment risks


Regulatory and Policy Frameworks

  • Applying NIST AI Risk Management Framework for control design

  • Understanding implications of the EU AI Act

  • Interpreting Malaysia’s AIGE and PDPA obligations

  • Evaluating hosting models (cloud, on-prem, hybrid) and compliance trade-offs


AI Risk Assessment

  • Identifying bias, fairness, explainability, and hallucination risks

  • Managing cybersecurity threats such as prompt injection and model inversion

  • Assessing sustainability and supply chain risks

  • Categorizing upstream and downstream AI dependencies


Control and Governance Design

  • Implementing human-in-the-loop oversight

  • Integrating AI risks into corporate risk registers

  • Designing governance KPIs and performance indicators

  • Structuring ownership models and accountability frameworks


Strategic Outlook

  • Emerging assurance standards such as ISO 42001

  • AI supply chain exposure and geopolitical risks

  • Building a future-ready GRC roadmap aligned with digital transformation


This course is ideal for risk managers, compliance officers, IT governance professionals, audit teams, and executives overseeing digital transformation initiatives. By the end of the program, participants will be able to evaluate AI risks systematically, design responsible governance frameworks, and support enterprise-wide AI adoption with structured accountability.

Class Details

20-21 Apr

2 days

CLASS PENDING

Physical (ILT)

RM 1,920

Quote

Frequently Asked Questions

What is Responsible AI in a GRC context?

Responsible AI refers to implementing artificial intelligence systems with governance controls, risk management processes, and compliance measures to ensure transparency, fairness, and accountability.

Who should attend a Responsible AI for GRC course?

This course is suitable for risk, compliance, audit, IT governance professionals, and executives responsible for overseeing AI adoption within organizations.

What regulatory frameworks are covered in this course?

The course covers frameworks such as the NIST AI Risk Management Framework, EU AI Act, Malaysia’s AIGE guidelines, and PDPA-related considerations.

What AI risks are addressed in this program?

The course addresses bias, explainability limitations, hallucinations, cybersecurity vulnerabilities, supply chain exposure, and sustainability risks.

How does this course help with AI governance design?

Participants learn how to structure AI governance models, assign ownership roles, define RACI matrices, and integrate AI controls into enterprise risk management frameworks.

Is this course HRDC Claimable?

Yes. This course is HRDC claimable, subject to HRDC approval and company eligibility requirements.

Can this course be customized for our organization?

Yes. The course can be tailored to reflect your organization’s industry regulations, risk appetite, governance structures, and digital transformation initiatives.

Does this course include practical policy drafting exercises?

Yes. Participants will draft policies, audit checklists, and GenAI usage guidelines aligned with governance and compliance requirements.


Unlock Your PMI Member Training Benefits

Tell us what you're looking for, and our team will recommend the most suitable training options for you or your organization. Whether you're joining a public class or planning private in-house training, we’ll help you get started with the right solution — along with your exclusive PMI member benefits.

Enquiring as
Self Funded
Company Funded

Please select the date you attended a PMI community event held at GemRain.

Terms & Conditions

Eligibility

  • This promotion is available to individuals who are current members of PMI. Proof of membership may be required during registration or prior to course commencement.

Discount Application

  • The up to 40% discount applies only to selected instructor-led public training courses offered by GemRain Consulting.

  • The discount:

    • Is applicable to course fees only

    • Does not apply to certification exam fees, official materials, or third-party charges

    • Cannot be combined with other promotions, discounts, or corporate agreements unless stated otherwise

Course Registration

  • All registrations are subject to availability and will be confirmed upon receipt of full payment.

  • GemRain Consulting reserves the right to:

    • Accept or reject any registration

    • Reschedule or cancel classes due to unforeseen circumstances

Community Contribution

  • For eligible registrations:

    • A contribution (e.g., RM50 for public classes or RM500 for private training) will be allocated to support PMI-related community initiatives hosted at GemRain Consulting venue.

  • This contribution is managed independently by GemRain Consulting and does not imply endorsement, partnership, or official affiliation with PMI.

Private In-House Training

  • The RM500 community support applies only when:

    • A PMI member introduces their organization

    • The organization confirms and proceeds with a private in-house training engagement

  • Additional terms may apply based on the training scope and agreement.

Changes to Promotion

  • GemRain Consulting reserves the right to modify, revise, or withdraw this promotion at any time without prior notice.

Liability

  • GemRain Consulting shall not be held liable for any indirect or consequential loss arising from participation in this promotion or training programs.

Governing Terms

  • All training services are subject to GemRain Consulting’s standard terms and conditions.

bottom of page