Use this template to systematically assess AI training datasets for quality, bias, and compliance issues that impact model performance and regulatory requirements.

Tip: **Copy this template to your workspace and customize it for your specific dataset types and regulatory requirements.

📋 1. Plan Audit Scope and Objectives

Define audit goals and establish evaluation criteria

Audit Context and Objectives

Dataset Information:

• Dataset name: _______________________
• Dataset type: Text/Images/Audio/Video/Structured/Multimodal
• Size: _______ samples/records
• Purpose: _______________________
• Model type: _______________________

Audit Objectives:

• [ ] Quality Assessment - Evaluate data completeness and accuracy
• [ ] Bias Detection - Identify demographic and systemic biases
• [ ] Compliance Validation - Ensure regulatory requirement adherence
• [ ] Privacy Review - Assess data protection and consent
• [ ] Source Validation - Verify data provenance and reliability
• [ ] Risk Assessment - Identify potential deployment risks

Regulatory Context: