interpretml

What problem does it solve?

This Skill provides a unified framework for understanding and explaining machine learning models, crucial for compliance and trust in AI systems.

Core Features & Use Cases

• Model Interpretability: Offers tools to explain both glass-box (EBM) and black-box models.
• Compliance Assessment: Aids in evaluating AI systems against regulatory requirements like the EU AI Act's Article 13.
• Risk Mitigation: Helps implement controls for trust-related risks in AI deployments.
• Use Case: A data scientist needs to explain why a complex AI model made a specific prediction for a loan application to satisfy regulatory scrutiny.

Quick Start

Use the interpretml skill to assess compliance with Art. 13 requirements for the AI system.