Introduction :
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.
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 Artificial Intelligence compliance 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
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- 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
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- 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