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
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AI Governance
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AI Frameworks, Rules & Regulations
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Data in AI
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AI Security & Cybersecurity
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Identity & Access Management
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AI Life Cycle
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AI Risk Register
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Audit Planning
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Test Procedures
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Day 02
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Incident Response Management & Resilience
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Monitoring
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Reporting
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Follow-up audit
Learning Objectives:
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Understand what AI is
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Explain AI Governance and Why it is Critical
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The Role of Generative AI in Transforming Internal Audit
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Learn how to perform AI Audits
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Define AI Risk Management
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Know the importance of Business Strategy Alignment in Performing Value-Adding AI Audits
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Understand how to write an AI value-adding Audit report
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Appreciate the use of AI Tools in performing Audit
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Understand AI key business metrics