AI Auditing
Ethics & Safety
Systematic evaluation of AI systems for performance, fairness, transparency, robustness, security, and compliance.
Detailed Explanation
AI Auditing involves a thorough review of AI systems to ensure they operate ethically and safely. It assesses performance accuracy, fairness across diverse groups, transparency in decision-making, robustness against errors or attacks, security measures, and regulatory compliance. This process helps identify biases, vulnerabilities, and areas for improvement, ensuring AI aligns with ethical standards and legal requirements, fostering trust and accountability.
Use Cases
- •Use case: Conducting regular AI audits to detect biases, improve fairness, and ensure compliance with regulations, thereby maintaining trustworthy and ethical AI deployment.
Related Terms
Other terms in the Ethics & Safety category