Certificate in AI Governance

AI governance is a serious topic in the age of AI, especially with the high competition and risk in AI. Business schools, legislative bodies, and organizations are issuing new recommendations and regulations aiming to limit these risks. There are different AI governance and risk management models; all aim to control risks effectively and organize the relationship between a company and its stakeholders. This course includes discussions about AI governance structures, committees, and their functions while covering the detailed process of managing risks per the International Standards Organization (ISO), the Organization for Economic Cooperation and Development (OECD), and the National Institute of Standards and Technology. This course also covers the latest developments in AI compliance requirements. PrerequisitesNone — open to managers at all levels

5 Days

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Course Methodology

This course is built on presentations by the instructor and the participants and includes exercises and case studies to be discussed during the training sessions.

Course Objectives

By the end of the course, participants will be able to:

Explain governance in general and AI governance challenges specifically
Develop ethical AI practices and use AI to improve ethics
Create an AI governing body to lead the AI function
Identify, assess, and control risks of AI to organizations and stakeholders
Establish and manage the compliance of Artificial Intelligence

Target Audience

Board members, chief financial officers, senior management, directors, managers, controllers, accounting and finance personnel, internal and external legal counsellors, corporate secretaries, lawyers, external and internal auditors, managers, and employees in Governance, Risk, and Compliance (GRC) and artificial intelligence (AI) and information technology (IT) departments.

Target Competencies

Advising on the structure of AI department
Establishing AI committees
Advancing AI governance
Improving AI risk management
Identifying, assessing, and controlling AI risks
Implementing compliance in AI function

Course Outline

Importance of AI Governance
- Introduction to Governance, Risk and Compliance (GRC)
- Governance principles
- Introduction to AI
- Governance challenges in Generative AI
AI Ethical Principles
- OECD AI principles
- Utilizing AI in implementing organizational ethics
- Utilizing AI ethically
  - AI hallucination
  - Practical steps to decrease hallucination
  - Prompt Engineering to decrease hallucinations
  - AI bias
  - Practical steps to decrease bias
- Integrating ethics into the AI function
AI Governance
- Committee for Innovation and AI
  - Purpose and scope
  - Membership composition
- Function structure
- Reporting lines
- Impact on organizational functions and stakeholders
- Key steps to launch the AI governing body
- Ethical decision support systems
- Employee training and awareness
Governing Risks in AI
- Having a clear direction in a fast-changing landscape
- Identifying and assessing AI risks
- Bias detection and guaranteeing fairness
- Risk management and accountability
- Controlling a fast-changing environment
- Ensuring transparency to stakeholders
Evolving Regulatory Landscape
- Regulators and regulatory requirements
- Implementing AI compliance requirements
- Future trends in AI
- Automated monitoring and compliance

2026 Schedule & Fees

Course Fees Starting From

USD 0

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Virtual Learning

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