AI Auditing
Processes for examining AI systems for ethics, accuracy, and compliance.
Definition
The set of processes and assessments used to examine AI systems for compliance with ethical principles, legal requirements, accuracy, fairness, and non-discrimination. ENIA mandates regular algorithmic assessments and bias audits, as well as external evaluations by independent experts, as part of monitoring and evaluation frameworks.
Related Terms
Algorithmic Bias
Systematic errors in AI outputs causing unfair outcomes for groups....
Ethical Impact Assessment
Pre-deployment assessment of ethical risks and benefits....
audit
Technical and procedural review for governance compliance....
AI Audit
A systematic, evidence-based review of an AI system or its lifecycle to verify performance, compliance, and risks, often by independent assessors....
Auditability of the AI system
Capacity to evaluate algorithms, data, and design or undergo audits....