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Auditing Artificial Intelligence

A Handbook for Audit, Risk, and Security Professionals

Medium: Buch
ISBN: 978-1-041-07879-1
Verlag: CRC Press
Erscheinungstermin: 07.10.2025
Lieferfrist: bis zu 10 Tage

Artificial Intelligence (AI) is revolutionizing industries, yet its rapid evolution presents unprecedented challenges in governance, ethics, and security. Auditing Artificial Intelligence is an essential guide for IT auditors, information security experts, and risk management professionals seeking to understand, evaluate, and mitigate AI-related risks.

This book provides a structured framework for auditing AI systems, covering critical areas such as governance, compliance, algorithm transparency, ethical accountability, and system performance. With 24 insightful chapters, it explores topics including:

- AI Governance and Ethics – Establishing frameworks to ensure fairness, accountability, and transparency in AI deployments.

- Risk Management and Compliance – Addressing the legal and regulatory landscape, including GDPR, the EU AI Act, and ISO standards.

- Bias and Trustworthiness – Evaluating AI decision-making to detect bias and ensure equitable outcomes.

- Security and Continuous Monitoring – Safeguarding AI systems from adversarial attacks and ensuring operational consistency.

- Model Performance and Explainability – Assessing AI outputs, refining accuracy, and ensuring alignment with business objectives.

Designed for professionals tasked with assessing AI systems, this book combines practical methodologies, industry standards, and real-world audit questions to help organizations build responsible and resilient AI practices and assess associated risks. Whether you are assessing AI governance, monitoring AI-driven risks, or ensuring compliance with emerging regulations, this handbook provides the guidance you need to navigate and assess the complexities of AI systems with confidence.

Stay ahead in your role and responsibility for assessing the rapidly evolving deployment and use of AI across the organization – equip yourself with the knowledge and tools to ensure its responsible, safe, approved, secure, and ethical use.


Produkteigenschaften


  • Artikelnummer: 9781041078791
  • Medium: Buch
  • ISBN: 978-1-041-07879-1
  • Verlag: CRC Press
  • Erscheinungstermin: 07.10.2025
  • Sprache(n): Englisch
  • Auflage: 1. Auflage 2025
  • Produktform: Gebunden, HC gerader Rücken kaschiert
  • Gewicht: 734 g
  • Seiten: 380
  • Format (B x H x T): 161 x 240 x 25 mm
  • Ausgabetyp: Kein, Unbekannt
Autoren/Hrsg.

Autoren

Part 1 AUDITING ARTIFICIAL INTELLIGENCEChapter 1 Artificial Intelligence: The BasicsChapter 2 AI AlgorithmsChapter 3: Key Metrics for Generative AIChapter 4 AI KPIsPart 2 AI GOVERNANCE AND OVERSIGHTChapter 5 AI Governance and OversightChapter 6 Auditing AI AccountabilityChapter 7 Auditing The Trustworthiness of AIChapter 8 AI Systems Decision-Making: Auditing FairnessChapter 9 Auditing The Reliability of GEN-AI ToolsChapter 10 Auditing the Ethics of AIChapter 11 Auditing the Process of Prompt EngineeringPart 3 AI RISK MANAGEMENTChapter 12 AI Risk ManagementChapter 13 Auditing AI Bias and Deception RiskChapter 14 Risk Assessment: Auditing AI Software vs Traditional SoftwarePart 4 AI REGULATORY AND COMPLIANCEChapter 15 Auditing The Status Of AI CompliancePart 5 AUDITING AI SYSTEMSChapter 16 Auditing AI System Documentation and ReportingChapter 17 Reinforcement Learning Models and Reward ReportsChapter 18 Code AnalysisChapter 19 Change Management and AI SystemsChapter 20 Safety and Security of AI Systems and SoftwareChapter 21 Software Certification of AI SystemsChapter 22 Auditing AI System PerformanceChapter 23 Auditing AI Systems: Continuous MonitoringChapter 24 Data Collection and Operational Consistency