Responsible AI
We are committed to the advancement of AI driven by ethical principles that put people first.
Microsoft Responsible AI principles in practice
We apply our responsible AI principles with guidance from committees that advise our leadership, engineering, and every team across the company. Learn how responsible AI governance is crucial to guiding AI innovation at Microsoft.
Innovating responsibly
We are putting our principles into practice by taking a people-centered approach to the research, development, and deployment of AI. To achieve this, we embrace diverse perspectives, continuous learning, and agile responsiveness as AI technology evolves.
Empowering others
We are helping organizations cultivate a responsible AI-ready culture throughout their businesses and put principles into place from implementation to governance with practices, tools, and technologies built on multidisciplinary research, shared learning, and leading innovation.
Fostering positive impact
We are committed to ensuring AI technology has a lasting positive impact for everyone by helping to shape public policy, contributing to industry working groups, and empowering those working to address society’s greatest challenges through our AI for Good initiative.
Establish a responsible AI strategy
Learn how to develop your own responsible AI strategy and principles based on the values of your organization.
Develop AI responsibly
Get access to tools, guidelines, and additional resources that will help you create a responsible AI solution.
State Farm
State Farm® and its affiliates are the largest providers of auto and home insurance in the U.S. To responsibly maintain and amplify its services, State Farm has established a governance system assigning accountability for AI and overseeing the development of AI solutions that benefit customers.
Building AI responsibly from research to practice
The Responsible AI dashboard brings together many of the MSR-initiated responsible AI tools under one pane of glass to assist AI developers with the debugging of their AI models and responsible decision making.
Keeping equity at the heart of AI: New research insights
Microsoft and University of Texas are working together to research how to best use AI to solve health, humanitarian, and accessibility issues while keeping transparency and equity at the forefront.
Driving competitive edge with responsible AI innovation
David Carmona, General Manager of AI and Innovation Marketing at Microsoft, explores how enterprises can anticipate and innovate in a challenging business environment with a framework for responsible AI.
Insurance industry point of view
AI and data science are transforming the insurance industry. But leaders must implement AI responsibly to mitigate issues of bias, privacy, and security.
Research and innovation for responsible AI
Microsoft is collaborating with researchers and academics around the globe in an effort to advance responsible AI practices and technologies. Visit our research collection to get an overview of this work.
Collaborating to develop industry-leading best practices
Microsoft co-founded The Partnership on AI, a working group that brings together industry leaders, academics, nonprofits, and specialists to develop best practices, and provides an open platform for discussion and engagement around AI’s impact on people and society.
