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Auditing Artificial Intelligence

Tichoana Zororo

Director, EGIT

Workshop Outline

 

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 this 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

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