First defined 70 years ago in 1955 by the then Stanford Professor John McCarthy Artificial Intelligence [AI] has become the centre of propelling today’s organisations. AI has become the keystone of organisations; building unique selling plusses sustaining competitive advantages, automating mundane tasks and enabling data-driven decision-making. Most futuristic Boards are approaching AI as a strategic imperative and are demanding value adding AI audits that provide insights and foresights to enable them to provide perform effective oversight over AI. A structured approach to value-adding AI auditing is critical. 

In these 2 days session delegates will learn:

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Day 01

• AI Governance 

• AI Frameworks, Rules & Regulations

• Data in AI

• AI Security & Cybersecurity

• Identity & Access Management

• AI Life Cycle

• AI Risk Register

• Audit Planning

• Test Procedures

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Day 02

• Incident Response Management & Resilience   

• Monitoring

• Reporting

• Follow-up audit

Learning Objectives:

• Understand what AI is   

• Explain AI Governance and Why it is Critical

• The Role of Generative AI in Transforming Internal Audit

• Learn how to perform AI Audits

• Define AI Risk Management

• Know the importance of Business Strategy Alignment in Performing Value-Adding AI Audits

• Understand how to write an AI value-adding Audit report

• Appreciate the use of AI Tools in performing Audit

• Understand AI key business metrics