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

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