Skip to content

Check for Bias

Step 1
Prepare
Step 2
Analyze
Step 3
Understand
Step 4
Document
Step 5
Monitor

Step 1: Prepare Your Data

Gather prediction data broken down by demographic groups.

Data requirements: - Model predictions (positive/negative outcomes) - Protected attributes (age, gender, location, etc.) - Sufficient sample size per group

Privacy first

Use the PII Masking Tool if your data contains identifiable information.

Step 2: Analyze for Bias

Run your data through the bias detection tool.

Tool: Bias Detection Tool

Metrics calculated: | Metric | What it measures | |--------|------------------| | Demographic Parity | Equal positive prediction rates across groups | | Disparity Ratio | Ratio between group rates (1.0 = perfect parity) | | 80% Rule | EEOC compliance threshold | | Statistical Parity | Distribution equality |

Step 3: Understand What the Results Mean

Interpret your results and understand the implications.

Guidance: Bias Testing Guide

Key considerations: - What level of disparity is acceptable for your use case? - Are there legitimate reasons for differences? - What are the consequences of bias in your specific context? - Who is harmed by the bias and how severely?

Step 4: Document Findings and Mitigations

Create a record of your analysis and any remediation steps.

Your documentation should include: - Methodology used - Results by demographic group - Interpretation of findings - Mitigation strategies (if needed) - Residual risks accepted

Template: Risk Register - for documenting bias-related risks

Step 5: Plan Ongoing Monitoring

Bias can emerge over time as data distributions shift.

Guidance: Monitoring Guide

Monitoring plan should cover: - Frequency of bias checks - Thresholds that trigger review - Escalation process - Re-training criteria