Definition
AI Audit Planning refers to the systematic process of defining the scope, objectives, and methodology for evaluating artificial intelligence systems. It involves identifying the specific AI components, data sources, algorithms, and intended use cases that require scrutiny to ensure compliance, fairness, and ethical operation. This planning phase is crucial for establishing a framework to assess risks, potential biases, and the overall trustworthiness of AI deployments. In practice, it translates into documented audit plans that guide the execution of AI system reviews. Understanding AI Audit Planning is vital for professionals responsible for deploying or overseeing AI, as it directly impacts system reliability and stakeholder trust. For instance, a financial institution might plan an audit to verify that its AI credit scoring model does not discriminate against protected groups. This differs from general IT audit planning by focusing specifically on the unique challenges of AI, such as model drift and explainability. Knowledge of AI Audit Planning is increasingly relevant for certifications like the AWS Certified Solutions Architect Associate and in advanced cybersecurity domains.