AI Bias Audits: Preparing for California's Next Wave of Algorithmic Fairness Laws

Is your algorithm biased? California's new audit rules are coming for you. ⚖️

The Fairness Mandate

California is moving beyond privacy to fairness. New regulations require audits for automated decision-making systems to detect disparate impact on protected groups.

What to Audit

• Training Data: Is it representative?
• Model Outcomes: Does the model perform equally well for all demographics?

The "Disparate Impact" Standard

You don't have to intend to discriminate to be liable. If the outcome is biased, you have a problem.

Conclusion

Fairness is a quality metric. Test for bias just like you test for latency.