We are committed to the advancement of AI driven by ethical principles that put people first.
Responsible AI Standard
The Microsoft Responsible AI Standard is our internal playbook for responsible AI. It shapes the way in which we create AI systems, by guiding how we design, build, and test them.
Responsible AI Impact Assessment Template
The Responsible AI Impact Assessment Template is the product of a multi-year effort to define a process for assessing the impact an AI system may have on people, organizations, and society.
Responsible AI Impact Assessment Guide
This resource provides activities and guidance for teams working through the Responsible AI Impact Assessment Template to help frame and support conversations about Responsible AI.
Transparency Notes allow us to communicate the intended uses, capabilities, and limitations of our AI platform systems to customers, building trust and enabling our customers to build more responsible AI products and services on top of our platforms.
Responsible AI resources and tools
Get access to tools, guidelines, and additional resources that will help you create a responsible AI solution.
Research and collaboration 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.
Establish a responsible AI strategy
Learn how to develop your own responsible AI strategy and principles based on the values of your organization.
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.
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.
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.
Azure FaceDownload the Transparency Note
Connected SpacesDownload the Transparency Note
Custom Neural VoiceDownload the Transparency Note
Optical Character RecognitionDownload the Transparency Note
Anomaly DetectorDownload the Transparency Note
Custom Named Entity RecognitionDownload the Transparency Note
Custom VisionDownload the Transparency Note
Form RecognizerDownload the Transparency Note
Intelligent Recommendations ServiceDownload the Transparency Note
Pronunciation AssessmentDownload the Transparency Note
QnA MakerDownload the Transparency Note
Speaker RecognitionDownload the Transparency Note
Teaming up to build an open-source Responsible AI Toolbox
Learn how Microsoft researchers, product teams, and leadership collaborated on a set of open-source tools designed to operationalize responsible AI in practice.
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.
Meeting the AI moment: advancing the future through responsible AI
We are at a transformative moment with AI that requires a wider lens on the impacts of the technology. Brad Smith explores Microsoft’s approach to meeting this pivotal moment and developing AI responsibly.
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.