Model Monitoring
AI Infrastructure
Software and techniques that help understand how AI models make decisions.
Detailed Explanation
Model Explainability Tools are software solutions and techniques designed to interpret and clarify the decision-making processes of AI models. They help users understand which features influence predictions and how models arrive at specific outcomes, increasing transparency, trust, and accountability in AI systems, especially in critical domains like healthcare, finance, and legal decision-making.
Use Cases
- •Use case: Enhances trust and compliance in AI healthcare diagnostics by elucidating model predictions for clinicians and regulators.
Related Terms
Other terms in the AI Infrastructure category