Name: Artificial Intelligence (AI) Governance, Accountability, and Transparency in the Digital Age: Leading with Governance, Risk and Compliance (GRC) Training Course
Rating: 4.7 (1076 reviews)

Scheduled Dates

03 - 07 Aug 2026

London - UK

$5,950

Why Choose this Training Course?

This training course provides a strategic blueprint for leaders navigating the complex intersection of corporate governance and artificial intelligence. In an era defined by rapid digital transformation and increasing regulatory scrutiny, organizations must move beyond siloed compliance and risk management to build an integrated, future-proof framework. This training course uniquely bridges the critical domains of Governance, Risk, and Compliance (GRC) with the responsible governance of AI, empowering participants to not only protect their organizations but also to unlock sustainable value and innovation.

By attending this comprehensive 5-day training course, you will gain the essential skills to design and implement a unified GRC framework that seamlessly integrates with modern AI governance principles. You will explore best practices for enhancing corporate strategy through robust internal controls and proactive risk management, while simultaneously mastering the ethical and regulatory landscape of AI. From the foundational COSO and OECD standards to the latest in explainable AI and the EU AI Act, this course equips you to lead with confidence, ensuring your organization is resilient, transparent, and prepared for the future.

This training course will highlight:

Strategic integration of GRC and AI governance frameworks
Building a culture of accountability, transparency, and ethical decision-making
Proactive risk management, including AI-specific risks like bias and opacity
Practical application of global standards (e.g., COSO, ISO/IEC 42001, OECD)
Developing future-ready leadership capabilities for responsible innovation

What are the Goals?

At the end of this training course, you will learn to:

Integrate strategic GRC frameworks with AI governance models
Analyse organisational risks, including those from AI systems
Design effective internal controls for responsible AI implementation
Apply principles of AI transparency, explainability, and accountability
Lead ethical AI adoption and regulatory compliance initiatives

Who is this Training Course for?

This training course is suitable for a wide range of professionals but will greatly benefit:

Executive Managers and Board Members
Risk, Compliance, and Internal Audit Professionals
AI Project Managers, Data Scientists, and Technology Strategists
Legal Counsels, Policy Advisors, and Regulatory Officials
Finance and Governance Professionals

How will this Training Course be Presented?

This training course employs a highly interactive and practical methodology, blending expert-led lectures with real-world case studies, group workshops, and scenario-based simulations. Participants will actively apply tools and techniques for GRC and AI governance to realistic business challenges, facilitating deep understanding and the development of actionable strategies. Continuous assessment and collaborative problem-solving ensure delegates can immediately translate learning into workplace impact.

Organisational Impact

The Organisation will have the following benefits:

Enhanced strategic decision-making and resilience
Strengthened stakeholder trust and corporate reputation
Proactive compliance with evolving global regulations
Improved operational efficiency and risk mitigation
Leadership capability to guide digital transformation
Fostering a culture of ethical innovation

Personal Impact

At the end of this training course, the participants will gain the following:

Strategic expertise in integrated GRC and AI governance
Advanced leadership skills for driving change
Enhanced professional credibility and career value
Practical skills in risk assessment and compliance
Ability to champion responsible AI within their organisation
Insights into future-proofing business strategies

Daily Agenda

Day 1: Foundations of Strategic GRC and Corporate Governance

Introduction to Governance, Risk, and Compliance (GRC) frameworks
Core principles of corporate governance: transparency, accountability, fairness
Legal and regulatory landscape: OECD, Basel, and local standards
The role of the Board and key committees
Introduction to the Three Lines of Defence model
Building a culture of control and integrity
Overcoming barriers to effective governance implementation
Integrating GRC with corporate strategy and objectives

Day 2: Enterprise Risk Management (ERM) and Internal Control

Comprehensive risk management framework and process
Identifying and assessing key organisational risks (Financial, Operational, Strategic, Reputational)
Developing and using Key Risk Indicators (KRIs)
The COSO framework for internal control systems
Designing and implementing preventive and detective controls
Managing emerging risks: ESG, digital, and cybersecurity
Business continuity planning and operational resilience
Risk-based approach to compliance and internal audit

Day 3: The GRC and AI Governance Nexus

The evolution of AI and its impact on governance models
Key governance challenges: bias, discrimination, and opacity
Principles of responsible and trustworthy AI
Understanding global AI standards and frameworks (e.g., OECD, NIST AI RMF)
Defining accountability in AI contexts
Techniques for ensuring AI transparency and explainability
Auditing AI models and decision pipelines
Data governance and its intersection with AI governance

Day 4: Risk, Compliance, and Regulatory Frameworks for AI

Overview of emerging global AI regulations (e.g., EU AI Act, ISO/IEC 42001)
Risk classification and mitigation strategies for AI systems
Establishing mechanisms for accountability and algorithmic auditability
Building an AI governance framework tailored to your industry
Role of leadership and board oversight in responsible AI adoption
Tools and platforms for ongoing monitoring and oversight
Aligning AI governance with ESG and digital ethics strategies
Managing risks associated with third-party AI solutions

Day 5: Operationalising GRC and AI Governance for the Future

Creating effective GRC and AI governance boards and committees
Integrating governance into the AI development lifecycle
Developing a comprehensive GRC performance and maturity assessment
Applying the Three Lines of Defense model to AI
Developing Key Risk Indicators (KRIs) for AI systems
Managing institutional change and implementing new governance systems
Developing your personal and organisational action plan for strategic GRC and AI governance
Final group workshop: Solving real-world GRC and AI challenges

Certificate

Upon successful completion of this training course, delegates will be awarded an official PetroKnowledge Certificate of Completion, signed by the course facilitator. The certificate confirms successful participation and records the total learning hours completed.
Continuing Professional Education credits (CPE): In accordance with the standards of the National Registry of CPE Sponsors, one CPE credit is granted per 50 minutes of attendance.

Accreditation

Would an alternative date be more suitable?

We offer a variety of tailored training options, customized to meet your organisation's needs. Delivered anytime, anywhere, we make it easy to bring expert training directly to your team.

Related Categories

Corporate Governance

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Artificial Intelligence (AI) Governance, Accountability, and Transparency in the Digital Age: Leading with Governance, Risk and Compliance (GRC)