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Our approach to responsible AI
We’ve identified six ethical principles to guide the development and use of artificial intelligence with people at the center of everything we do. -
Tools and Weapons
A new book on the impact of AI, the rise of cyberattacks, threats to digital privacy, and more.
Fairness
AI systems should treat all people fairly
Inclusiveness
AI systems should empower everyone and engage people
Reliability & Safety
AI systems should perform reliably and safely
Transparency
AI systems should be understandable
Privacy & Security
AI systems should be secure and respect privacy
Accountability
AI systems should have algorithmic accountability
Microsoft AI is driving innovation
Discover how we are applying our AI principles to create solutions.
AI for Good
Applied AI uses technology to empower solutions to humanitarian issues and create a more sustainable and accessible world.
Learn more about AI for Good
AI for Business
Microsoft AI drives digital transformation across industries.
Learn about AI for Business
AI collaborations
We partner with the best and brightest to advance the industry and society.
Partnership on AI
Partnership on AI is working alongside industry leaders, academics, nonprofits, and specialists to collectively develop best AI practices, and provide an open platform for discussion and engagement around AI’s impact on people and society.
Learn about Partnership on AI
CBMM
The Center for Brains, Minds and Machines is a Science and Technology Center focused on the interdisciplinary study of intelligence—how the brain produces intelligent behavior and how we may be able to replicate it in machines.
Learn more about CBMM
CMU MLD and LTI
Carnegie Mellon University's Machine Learning Department studies machine learning, robotics, AI, and computer science. The Language Technologies Institute (LTI) researches natural language processing, computational linguistics, and more.
Learn more about CMU MLD
AMLab
The Amsterdam Machine Learning Lab researches large-scale modelling of complex data sources including the development of new methods for probabilistic graphical models and nonparametric Bayesian models, deep learning, and more.
Get details on AMLab seminars
ONNX
Microsoft and Facebook came together to create the Open Neural Network Exchange. It’s an open format ecosystem where AI developers can easily move models between state-of-the-art tools and choose the combination that is best for them.
Learn more about ONNX
