Responsible AI with Azure
Develop, use, and govern AI solutions responsibly
Build responsible AI solutions with Azure Machine Learning
Apply responsible AI throughout the machine learning development lifecycle to build fair, explainable, and performant applications that earn the trust of customers. The responsible AI dashboard consolidates responsible AI capabilities to support deep-dive investigations in your flow of work, while model monitoring helps you optimize performance in production. Contextualize responsible AI metrics for business audiences with the responsible AI scorecard (preview) to streamline AI governance, compliance, and collaboration.
Build responsibly for trusted outcomes
Operationalize responsible AI to deliver trusted outcomes. Assess models for fairness, reliability, and explainability
Make real-time, data-driven decisions with confidence. Monitor and optimize AI model performance in production
Protect and govern your machine learning assets for transparency, accountability, and compliance across stakeholder groups
Quickly assess your machine learning model with state-of-the-art algorithms in the responsible AI dashboard, including tabular, image, and text models. Using reproducible and automated workflows, perform statistical modeling, exploratory data analysis, error analysis, counterfactual analysis, and causal analysis, and evaluate your model for fairness, interpretability, and performance, all within an end-to-end machine learning platform.
Use counterfactuals to understand what's needed to produce a specific outcome and causal analysis to proactively apply new policies and effect real-world change. Then, track and optimize model performance in production with model monitoring. Simplify inference data collection and get timely alerts on data drift, feature attribute drift, and data quality issues to continually improve model performance and business outcomes.
Protect and govern your machine learning assets with enterprise privacy and security controls, 60+ compliance certifications, and machine learning operations (MLOps). Easily track and understand data lineage and use the connector for Microsoft Purview to streamline metadata storage and perform faster root cause analyses. Export responsible AI scorecards (preview) for your machine learning models to contextualize responsible AI metrics for business stakeholders and foster proactive collaboration.
Customers are putting responsible AI into practice
Dr. Mildred Coyne, Senior Vice President of Workforce Education and Innovation, Broward College"Our students don't come to quit, they come to finish—but they just don't always know what's in the journey ahead of them. We can use this technology to predict and help them succeed."
Dr. Justin Green, Leadership and Management Fellow at Health Education England North & Orthopedic Surgical Registrar"With Azure Machine Learning and the Responsible AI dashboard, we have the tools we need to understand, refine, and explain our outcomes so we can better serve our patients."
Daniel Engberg, Head of Data Analytics and AI, Scandinavian Airlines (SAS)"With model interpretability in Azure Machine Learning, we have a high degree of confidence that our machine learning model is generating meaningful and fair results."
Resources and documentation
Concepts
Tools
Get the latest Responsible AI news and resources
DOWNLOAD
Ten Guidelines for Product Leaders to Implement AI Responsibly
Guide product teams to design, build, and validate AI systems.
LEARN MORE
Empowering Your Organization with Responsible AI IDC report
Learn how to approach responsible AI throughout the lifecycle.
WATCH
Driving Business Value with Responsible AI webinar
Watch this on-demand webinar to learn how to approach building responsible AI solutions to cultivate trust in machine learning.
Build your machine learning skills with Azure
Learn how to build and operationalize machine learning models on Azure in a secure, scalable, and responsible way through helpful hands-on tutorials. By the end of this 30-day learning journey, you'll be prepared for the Azure Data Scientist Associate Certification.
Related products
Azure Machine Learning
Use an enterprise-grade service for the end-to-end machine learning lifecycle
Azure AI Services
Add cognitive capabilities to apps with APIs and AI services
Azure AI Services
Go live with AI solutions in days—not months. Generate tangible value for your organization quickly with AI services for common business processes.