AI Audit
Noun · AI & Machine Learning
Definitions
A structured review of an AI system's behavior, data use, controls, and outcomes to assess risk, compliance, quality, or accountability. AI audits may examine model decisions, prompts, logs, datasets, access controls, and evaluation evidence.
In plain English: A formal review of how an AI system works and whether it is operating responsibly.
Example: "The procurement team required an AI audit before rollout because the system would influence customer eligibility decisions."
Related Terms
- Compliance Framework
- Governance Risk Compliance
- GRC
- Policy Compliance
- Policy Violation
- AI Compliance
- AI Data Pipeline
- AI Edge
- AI Lifecycle
- AI Privacy
- AI Registry
- Cognitive Bias AI
- Cognitive Science AI
- Collective Intelligence
- Cooperative AI
- Dialogue Policy
- Embodied AI
- Emergence
- Feedback Loop AI
- Instruction Dataset
- Interactive Learning
- Neural Processor
- Self-Improvement
- Skill Composition
- System Card
- Trajectory
- Uncertainty Estimation
- Watermark Detection
- Weight Quantization
- XAI