Auditing Using AI

Name: Auditing Using AI
Rating: 4.5 (260 reviews)

AI-Powered Auditing: Improve Your Audit Process and Effectively Assess AI Systems

Bestseller

Created byAdrian Resag, QIAL, CMIIA, CIA, CRMA, CFSA, GRCP, IAAP, CIMA Adv Dip MA

Last updated 2/2025

English

What you'll learn

Using AI for Audit – Explore AI-driven audit models and techniques for improved efficiency.
Understanding AI Risks and Opportunities – Identify key risks and benefits of AI in internal auditing.
AI Fundamentals for Auditors – Learn the basics of machine learning and artificial intelligence relevant to auditing.
Advanced Data Analytics for Auditors – Leverage AI-powered data analytics to detect anomalies and assess risks.
AI in Risk Management and Compliance – Understand how AI helps in identifying, assessing, and mitigating risks.
Auditing AI Systems – Learn to audit AI-driven processes and ensure compliance with governance frameworks.
AI Governance and Regulatory Frameworks – Gain knowledge of ISO 42001 and other AI-related audit standards.
Building AI Audit Capabilities – Develop skills to stay ahead in the internal audit profession using modern AI techniques.
Enhancing Audit Efficiency with AI – Use AI to improve audit quality, automate processes, and gain deeper insights.

Course content

3 sections • 16 lectures • 3h 30m total length

Agenda2:03
Explore governance, risk and compliance for artificial intelligence, including AI data analytics, risk planning, and implementing an AI management system aligned with the EU AI act, ethical principles, and standards.
AI Risks11:23
Audit AI risks using ISO 42,001 and the AI use maturity model, illustrated by cases of deepfake fraud, chatbot manipulation, data poisoning, model stealing, and model inversion.
The Basics of AI10:22
Define artificial intelligence as thinking machines that mimic human reasoning. Explain machine learning with neural networks and probabilistic parameters, and touch on ISO standards and the AI risk management framework.
Types of AI Systems15:36
Examine ai systems by environment and learning: ai agents, symbolic versus subsymbolic ai, and learning modes—supervised, semi-supervised, unsupervised, and reinforcement—plus reactive, limited memory, theory of mind, and self-aware ai.
Classification of AI According to the EU AI Act10:21
Ethical Principles of AI7:46
Explore how AI systems uphold fairness, avoid bias, and provide explainable, accountable decisions. Emphasize reliability, privacy, safety, and human control to foster trust and shared societal benefits.

The AI Use Maturity Model17:28
the AI use maturity model outlines six levels, from siloed to wide-focus systems, driven by privileged information and organizational data, enabling governance, risk, and compliance insights.
Simple Use Cases of Using AI for GRC17:09
Explore simple AI use cases for governance, risk, and compliance, including anomaly detection, policy management, fraud detection, data privacy, AML, KYC, and regulatory reporting.
Types of AI Data Analysis15:42
AI Data Analytics for Risk, Compliance and Detection17:28
Explore AI data analytics for risk, compliance, and detection, including fraud, anomaly detection, data cleansing, and real-time risk analytics with practical software examples.
AI Data Analytics for Performance, Insight, and Optimization18:13

Auditing Using ISO 42001 AI Management Systems28:46
Clauses of the ISO 42001 Standard18:15
Summarize the ISO 42001 clauses for AI management systems, including context, scope, and management commitment. Learn to identify AI risks, set objectives, plan controls, and enable continuous improvement for certification.
Annexes of ISO 42001 AI Management Systems2:43
Explore annexes A, B, and C of ISO 42001 AI management systems, including the statement of applicability, implementation guidance, and AI risk assessment.
Roles and Responsibilities in an AIMS10:15
Identify and map the roles in an artificial intelligence management system, from the AI manager and AI ethics manager to data science, operations, compliance, and AI user experience leads.
Standards and Laws over AI7:05
Explore key AI standards and laws, including ISO 42,001 and the NIST risk management framework, and assess the EU AI act, with emphasis on transparency, governance, and risk management.

Requirements

No prerequisites are required.

Description

This course equips internal auditors with the knowledge and tools to leverage AI for audits and assess AI systems for risks, compliance, and efficiency. As AI transforms the business landscape, auditors must adapt by using AI-driven techniques to enhance audit quality, detect risks, and ensure governance standards are met.

Led by Adrian Resag, an experienced AI governance and audit expert, this course covers the fundamentals of AI in auditing, practical applications of AI for risk assessment, and techniques for auditing AI-driven systems. You’ll explore AI-powered data analytics, fraud detection, and compliance monitoring while gaining insights into governance frameworks like ISO 42001.

By the end of the course, you’ll have the skills to integrate AI into your audit processes, assess AI systems for transparency and compliance, and stay ahead in the evolving field of AI-driven auditing.

What You Will Learn

Understand AI risks, opportunities, and applications in auditing
Use AI for risk assessments, fraud detection, and compliance monitoring
Apply AI-driven data analytics to enhance audit insights
Audit AI systems for transparency, compliance, and ethical risks
Implement AI governance frameworks like ISO 42001
Stay ahead in the evolving audit profession with AI-powered tools

Course Content

This course covers AI’s role in auditing, including risk assessment, anomaly detection, fraud prevention, and data analytics. You'll learn how to audit AI systems, manage compliance with frameworks like ISO 42001, and apply AI to enhance audit efficiency and decision-making. Through practical insights, you'll gain the skills to use AI in audits and assess AI systems effectively.

Who this course is for:

Internal and external auditors
Governance, Risk, and Compliance (GRC) professionals
AI and IT managers
AI project managers and system implementers
Anyone interested in AI governance, risk, and compliance

Auditing Using AI

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