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Book synopsis

AI-generated work can look polished, authoritative, and completely correct-even when it contains fabricated citations, unsupported claims, faulty calculations, missing requirements, or subtle logical errors.

AI Auditing provides a practical, repeatable system for verifying AI-generated and AI-assisted work before it is published, submitted, implemented, or used to make important decisions.

Unlike books that focus primarily on governing AI systems and models, this handbook addresses work-product assurance: determining whether a particular report, memo, spreadsheet, presentation, analysis, block of code, or other AI-assisted deliverable is actually accurate, complete, traceable, consistent, and fit for purpose.

The handbook includes 80 professional verification templates, worksheets, checklists, registers, and audit tools, each presented in a consistent practitioner-focused format:

• Purpose and intended use
• Inputs required
• Step-by-step completion guidance
• Ready-to-use blank form
• Fully worked example
• Review criteria
• Evidence to retain
• Related templates
• AI prompt library

The templates span the full AI assurance lifecycle, including:

• AI program governance and audit planning
• Work-product risk classification and materiality
• Prompt, model, source, and version traceability
• Hallucination, factual accuracy, and citation verification
• Legal citation and case-law review
• Copyright and originality screening
• Spreadsheet, calculation, data, and statistical checks
• Logic, reasoning, contradiction, and completeness reviews
• Large-document, presentation, and publication audits
• AI-generated code, RAG, security, and agent reviews
• Independent human review and approval
• Anthropomorphism, emotional response, and user-trust risks
• Error tracking, corrective action, monitoring, and revalidation
• Vendor due diligence and final audit closure

Worked examples use a consistent fictional organization so readers can see how individual templates connect across an entire assurance program.

This handbook is designed for auditors, compliance professionals, project managers, consultants, authors, analysts, educators, software teams, risk managers, AI governance professionals, and anyone responsible for approving AI-assisted work.

Do not assume that fluent AI output is reliable. Verify before you trust.

Book details

• Full title: AI Auditing
• Subtitle: The Complete Handbook of Verification Templates for AI-Generated and AI-Assisted Work
• Author: Jessica Keyes
• Language: English
• Binding: Paperback
• Number of pages: 290
• EAN: 9798186926153
• ID: 53211634
• Publisher: Independently published
• Weight: 679 g
• Dimensions: 280 × 216 × 15 mm
• Date of publishing: 12. July 2026

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