AI Audit
The independent examination of AI systems for fairness, bias, security, compliance, and performance by external or internal auditors.
Marketing AI audits will come: Are recommendations fair? Does targeting discriminate? Are AI texts correct?
Explanation
Audit dimensions: Technical (model quality), ethical (bias tests), legal (GDPR/AI Act), operational (processes). NYC Local Law 144: First law requiring AI hiring audits.
Marketing Relevance
Marketing AI audits will come: Are recommendations fair? Does targeting discriminate? Are AI texts correct?
Example
A company hires external AI auditor: Reviews personalization engine for age discrimination, documents results.
Common Pitfalls
Audit standards still developing. Costs high. Audit only snapshot – continuous monitoring needed.
Origin & History
AI Audit is an established concept in the field of Artificial Intelligence. The concept has evolved alongside the growing importance of AI and data-driven methods.