Building AI Audit Programs and Checklists – PDF

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BENEFITS OF THIS DOWNLOADABLE PDF DOCUMENT

1. Provides complete, ready-to-deploy audit programs covering governance, technical, compliance, and ethics dimensions of AI.
2. Equips auditors to tailor audit scope and depth to AI system risk classification.
3. Includes five complete audit programs and ten practical checklists for immediate engagement use.

AUDIT MANAGEMENT PDF DESCRIPTION

AI Audit Program PDF: Download templates, checklists & frameworks including NIST, ISO/IEC, EU AI Act for building AI audit management and compliance programs. Building AI Audit Programs and Checklists is a 40-page PDF document available for immediate download upon purchase.

This is the module where everything in the series becomes a working toolkit. Module 14 of the AI-Powered Internal Audit Professional Series – a 15-module program developed and published by Business Excellence – equips internal auditors to design, build, and deploy comprehensive AI audit programs.
The module defines what an AI audit program is: a structured set of procedures, tests, and documentation requirements that systematically evaluate AI systems against defined criteria, standards, and regulatory requirements. It then guides auditors through building programs across the four dimensions that comprehensive AI assurance requires – a governance audit program covering strategy, policies, oversight, and accountability; a technical audit program covering model performance, data quality, and security controls; a compliance audit program covering regulatory adherence, documentation, and reporting; and an ethics audit program covering bias, fairness, transparency, and human oversight.
A central skill developed in the module is tailoring. Audit programs are not one-size-fits-all: the module shows how to customize scope, depth, and procedures based on an AI system's risk classification and organizational context, so that a high-risk system receives proportionately greater scrutiny than a low-risk one.
The module is deliberately tool-heavy. It provides practical, ready-to-use audit checklists for immediate application, planning templates, risk and control matrices, testing templates, and documentation formats – all structured around the AI system lifecycle and the recognized frameworks used throughout the series, including the NIST AI Risk Management Framework, ISO/IEC 42001, the EU AI Act, and the IIA Global Internal Audit Standards 2024.
Written in executive-level language for senior auditors and Chief Audit Executives, and reflecting current ISACA guidance, the module is delivered as a professional PowerPoint presentation with full speaker notes. It includes five complete AI audit programs, ten practical checklists, testing templates, real-world examples from cited sources, and a 10-question knowledge assessment quiz – the practical core of the entire series.

Source: Best Practices in Audit Management PDF: Building AI Audit Programs and Checklists PDF (PDF) Document, Amer Morgan