What is Algorithmic Auditing?
Algorithmic Auditing is the systematic examination of AI systems to assess their fairness, accuracy, compliance, and potential for harmful outcomes before and after deployment.
Why Audit Algorithms?
• Detect and mitigate bias and discrimination
• Ensure regulatory compliance
• Verify performance claims
• Build stakeholder trust
• Identify security vulnerabilities
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⚖️
Fairness Audits
Assess discriminatory impact across different groups
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📊
Performance Audits
Verify accuracy and reliability claims
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📋
Compliance Audits
Check adherence to laws and regulations
Audit Methods
Different auditing approaches reveal different aspects of algorithmic behavior and potential issues.
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📈
Statistical Analysis
Quantitative assessment of outcomes across groups
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🎯
Adversarial Testing
Deliberate attempts to find system vulnerabilities
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🔍
Interpretability Analysis
Understanding how algorithms make decisions
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👥
Stakeholder Review
Input from affected communities and experts