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Synapse
May 3, 20260 citationsOpen Access

XAI for AI Auditors: Building a Cost-Effective AI Audit Practice

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OIOleh Ivchenko

Key Points

  • The aim is to explore how explainable AI (XAI) can enhance the efficiency and cost-effectiveness of AI audit practices.
  • Identified key components for developing AI audit practices
  • Analyzed cost implications of integrating XAI technologies
  • Evaluated transparency and reliability of audit outcomes using different algorithms
  • XAI integration led to a 30% reduction in audit costs
  • Improved audit accuracy by 25% as measured by reliability metrics
  • Increased stakeholder trust in AI processes due to enhanced transparency

Abstract

Research article: XAI for AI Auditors: Building a Cost-Effective AI Audit Practice

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Cite This Study

Oleh Ivchenko (2026) studied this question.

synapsesocial.com/papers/69f6e6968071d4f1bdfc7586https://doi.org/10.5281/zenodo.19958438
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1AI and Auditing: Enhancing Audit Efficiency and Effectiveness with Artificial Intelligence2024 · 9 citations
  2. 2Availability of AI tools and their effect on the auditing process2026
  3. 3A Comparative Study of Explainable Artificial Intelligence (Xai) Techniques in Financial Auditing Applications2025 · 5 citations
  4. 4Transparent AI in Auditing through Explainable AI2024 · 16 citations
  5. 5Cost-Effective AI Development: A Research Review2026