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Auditing and Governance Risk and Compliance · AGRC-016
Certificate in AI Governance
As Artificial Intelligence becomes embedded in business operations, organizations must establish effective governance frameworks to ensure AI systems are ethical…
- Duration5 days
- Next date16 - 20 Nov 2026
- Cities7 cities
- Fee from£2,250
Course overview
Why Attend
As Artificial Intelligence becomes embedded in business operations, organizations must establish effective governance frameworks to ensure AI systems are ethical, transparent, compliant, and aligned with strategic objectives.
This course provides participants with practical guidance on AI governance, risk management, ethical oversight, regulatory compliance, and organizational accountability to support responsible AI adoption.
Course Methodology
The course combines presentations, practical workshops, case studies, group discussions, governance framework exercises, AI risk assessments, policy development activities, and real-world implementation scenarios.
Course Objectives
By the end of this course, participants will be able to:
- Understand the principles and importance of AI governance
- Establish governance structures for responsible AI adoption
- Identify and manage AI-related risks and compliance requirements
- Apply ethical principles to AI development and deployment
- Address AI bias, transparency, and accountability challenges
- Develop AI oversight committees and governance frameworks
- Monitor emerging regulations and future AI governance trends
Target Audience
- Governance and compliance professionals
- Risk management specialists
- Internal auditors
- Digital transformation leaders
- IT managers and technology professionals
- Legal and regulatory professionals
- Executives responsible for AI strategy and oversight
Target Competencies
- AI governance
- Risk management
- Regulatory compliance
- Ethical AI implementation
- Policy development
- Strategic decision-making
- Digital transformation leadership
- Stakeholder management
Course outline
-
1Day 1: Foundations of AI Governance and Ethical Principles
- Understanding the strategic importance of AI governance within organizations
- Introduction to governance, risk, and compliance frameworks for AI environments
- Exploring governance principles and accountability structures
- Understanding artificial intelligence technologies and organizational applications
- Examining governance challenges associated with generative AI solutions
- Reviewing internationally recognized AI ethics principles and responsible AI practices
-
2Day 2: Ethical AI Implementation and Responsible Use
- Applying ethical principles throughout the AI lifecycle
- Understanding AI-generated inaccuracies and their organizational implications
- Identifying practical approaches to improve AI reliability and output quality
- Utilizing prompt design techniques to improve AI effectiveness and reduce errors
- Understanding AI bias and its impact on organizational decisions
- Implementing practical measures to promote fairness, transparency, and responsible AI use
-
3Day 3: Building an Effective AI Governance Framework
- Integrating ethical oversight into AI management and decision-making processes
- Establishing AI governance structures and organizational responsibilities
- Designing AI and innovation committees to support governance objectives
- Defining committee roles, reporting structures, and stakeholder responsibilities
- Understanding the impact of AI governance on business functions and stakeholders
- Developing implementation roadmaps for launching AI governance initiatives
-
4Day 4: Managing AI Risks and Organizational Accountability
- Understanding AI risk management principles in dynamic environments
- Identifying, assessing, and prioritizing AI-related risks
- Implementing fairness monitoring and bias detection mechanisms
- Strengthening accountability and governance controls for AI systems
- Managing transparency requirements and stakeholder expectations
- Utilizing decision-support frameworks to improve governance effectiveness
-
5Day 5: Compliance, Regulation, and the Future of AI Governance
- Understanding the evolving regulatory landscape for artificial intelligence
- Reviewing regulatory expectations and compliance obligations
- Implementing AI compliance and monitoring frameworks
- Leveraging automated monitoring solutions for governance oversight
- Exploring emerging trends and future developments in AI governance
- Developing a practical AI governance roadmap and organizational action plan for sustainable implementation
Dates and fees
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