AI Auditing Framework

Overview

The AI Auditing Framework is a transparency tool designed to evaluate AI systems across dimensions of transparency, accountability, and ethics. Developed under IEEE's Autonomous Intelligence Systems initiative, it provides structured guidance for assessing responsible AI implementation.

Key Principles

The framework addresses three core dimensions:

• Transparency: Evaluating how clearly AI system operations, decisions, and limitations are communicated
• Accountability: Assessing mechanisms for responsibility and oversight in AI deployment
• Ethics: Examining alignment with ethical principles and values in AI development and use

How to Apply

The framework can be used to:

• Conduct systematic audits of existing AI systems
• Identify gaps in transparency, accountability, and ethical practices
• Establish baseline standards for responsible AI governance
• Document findings and recommendations for improvement

Target Audience

This resource is intended for:

• AI developers and engineers
• Organizations deploying AI systems
• Compliance and governance teams
• Ethics review boards
• Standards bodies and policymakers
• Auditors and assessors

Related Resources

The framework is part of IEEE's broader Autonomous Intelligence Systems initiative, which develops standards and guidelines for responsible AI development and deployment.

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Note: The framework's detailed content requires JavaScript and cookies to be enabled on the IEEE standards website. For full access to specific audit criteria, methodologies, and templates, visit the resource directly at the provided URL.