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{ "item_title" : "AI Auditing", "item_author" : [" Jessica Keyes "], "item_description" : "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 useInputs requiredStep-by-step completion guidanceReady-to-use blank formFully worked exampleReview criteriaEvidence to retainRelated templatesAI prompt libraryThe templates span the full AI assurance lifecycle, including:AI program governance and audit planningWork-product risk classification and materialityPrompt, model, source, and version traceabilityHallucination, factual accuracy, and citation verificationLegal citation and case-law reviewCopyright and originality screeningSpreadsheet, calculation, data, and statistical checksLogic, reasoning, contradiction, and completeness reviewsLarge-document, presentation, and publication auditsAI-generated code, RAG, security, and agent reviewsIndependent human review and approvalAnthropomorphism, emotional response, and user-trust risksError tracking, corrective action, monitoring, and revalidationVendor due diligence and final audit closureWorked 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.", "item_img_path" : "https://covers2.booksamillion.com/covers/bam/9/79/818/692/9798186926153_b.jpg", "price_data" : { "retail_price" : "39.99", "online_price" : "39.99", "our_price" : "39.99", "club_price" : "39.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
AI Auditing|Jessica Keyes

AI Auditing : The Complete Handbook of Verification Templates for AI-Generated and AI-Assisted Work

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Overview

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.

This item is Non-Returnable

Details

  • ISBN-13: 9798186926153
  • ISBN-10: 9798186926153
  • Publisher: Independently Published
  • Publish Date: July 2026
  • Dimensions: 11 x 8.5 x 0.61 inches
  • Shipping Weight: 1.49 pounds
  • Page Count: 290

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