rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: AUDITING ARTIFICIAL INTELLIGENCE
    sub title: a handbook for audit, risk and security professionals
  name:
    name part: MARCELLA, ALBERT J.
    role:
      role term: creator
  name:
    name part: Taylor & Francis
  type of resource: text
  genre: Electronic books.
  origin info:
    place:
      place term: xx
    date issued: 2026
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource (328 pages) : illustrations (black and white).
  abstract: 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 AIrelated 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 decisionmaking 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 realworld audit questions to help organizations build responsible and resilient AI practices and assess associated risks. Whether you are assessing AI governance, monitoring AIdriven 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.
  subject:
    topic: Artificial intelligence
    topic: Security measures
  subject:
    topic: Artificial intelligence
    topic: Safety measures
  subject:
    topic: Artificial intelligence
  subject:
    topic: Intelligence artificielle
    topic: Sécurité
    topic: Mesures
  subject:
    topic: Intelligence artificielle
  subject:
    topic: artificial intelligence
  subject:
    topic: Artificial intelligence
  classification: Q335
  classification: 006.3
  related item:
    title info:
      title: AUDITING ARTIFICIAL INTELLIGENCE
    name:
      name part: MARCELLA, ALBERT J.
    origin info:
      publisher: [Place of publication not identified] : CRC PRESS, 2025
    identifier: (OCoLC)1515404621
  identifier: 9781003646501
  identifier: 1003646506
  identifier: 9781040426074
  identifier: 1040426077
  identifier: 9781040426067
  identifier: 1040426069
  identifier: 104107879X
  identifier: 9781041078791
  identifier: 104108675X
  identifier: 9781041086758
  identifier: 9781003646501 Taylor & Francis
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: N$T
    record creation date: 250908
    record change date: 20251124212343.3
    record identifier: in00005670666
    language of cataloging:
      language term: eng