do the following Surrounding the central circle, several smaller circles connected by lines represent the different components of the audit process:

Model Card: $($Top left$)$ Includes information about the AI system's purpose, training data, model, bias, impacts, and redress.

System Map: $($Top right$)$ Outlines the AI component, responsibilities, transparency mechanisms, purpose, context, proportionality, necessity, data recipients, and data storage limitations$.$

Data Management: $($Bottom left$)$ Encompasses data quality, source documentation, preprocessing, and bias control.

Verification & Validation: $($Bottom right$)$ Covers performance, consistency, stability, robustness, traceability, and security testing.

Bias Testing: $($Bottom center$)$ Involves defining protected groups, testing AI system output, examining training data, and using fairness metrics.

Additional elements connected to the central circle:

Introduction: $($Top center$)$ Defines the scope and limitations of the audit process.

Adversarial Audit: $($Right side, below System Map$)$ Represents an optional step to gather impact data and uncover potential biases.

Audit Report: $($Bottom center, below Bias Testing$)$ Consists of an internal report, a public summary, and a technical report detailing the findings and recommendations.

Arrows indicate the flow of the audit process:

Introduction $->$ Model Card $->$ System Map $->$ Data Management $->$ Verification & Validation $->$ Bias Testing $->($Optional$)$ Adversarial Audit $->$ Audit Report

Additional Notes:

The central circle representing the AI System is the core focus of the audit process.

The connecting lines and arrows illustrate the interconnectedness of the different components.

The optional Adversarial Audit step is depicted as a separate element, highlighting its non$-$mandatory nature.

The Audit Report is the final output of the process, providing a comprehensive overview of the findings and recommendations.

This graphical scheme provides a visual representation of the AI Auditing Checklist, making it easier to understand the relationships between the different components and the overall flow of the audit process.