Introduction
Responsible AI practices are crucial when developing and deploying AI solutions. Azure AI Machine Learning provides tools and guidance to help you build AI systems that are fair, accountable, transparent, and robust.
This documentation covers key concepts, best practices, and Azure services related to Responsible AI.
Key Concepts
- Fairness: Mitigating bias and ensuring equitable outcomes across different groups.
- Accountability: Establishing clear ownership and responsibility for AI systems.
- Transparency: Making AI systems understandable and explainable to users.
- Robustness: Ensuring AI systems are resilient to unexpected inputs and changes.
Azure Services for Responsible AI
- Azure AI Services – Responsible AI: Overview of tools and services within Azure AI Services for building responsible AI solutions.
- Responsible AI – Microsoft Learn: Explore comprehensive learning paths and modules focused on responsible AI principles and practices.