The AI Bias Audit Guide

"Unintentional" discrimination is still discrimination. And in the EU, it's illegal.

#The Scope

If your AI is used for: Recruitment, Credit Scoring, Insurance, Education, or Law Enforcement—it is High Risk. You MUST prove it is not biased against protected groups (Gender, Race, Religion, etc.).

#The 5-Step Audit Framework

• 1
  Data Lineage: Prove where your training data came from. Was it balanced?
• 2
  Metric Selection: Choose the right fairness metric (e.g., Equal Opportunity vs. Demographic Parity).
• 3
  Stress Testing: Test the model with edge cases and synthetic data specifically designed to trigger bias.
• 4
  Mitigation: If bias is found, re-train or apply post-processing correction.
• 5
  Continuous Monitoring: Bias creeps in over time (Data Drift). Monitor it.