Longterm Wiki
Back

Credibility Rating

4/5
High(4)

High quality. Established institution or organization with editorial oversight and accountability.

Rating inherited from publication venue: Microsoft

Data Status

Not fetched

Cited by 1 page

PageTypeQuality
AI Safety Solution CruxesCrux65.0

Cached Content Preview

HTTP 200Fetched Feb 22, 202618 KB
Responsible AI: Ethical policies and practices | Microsoft AI This is the Trace Id: 7cb6f63eb3c7cb8fd4d956bcc917c560 
 

 
 

 

 
 
 

 
 

 Skip to main content 

 
 

 
 New webinar available - Trust in AI: Accelerate Business Growth with Confidence 

 Watch now Responsible AI at Microsoft</h1> "> Responsible AI at Microsoft

 Explore the tools, practices, and policies we’ve created to uphold our responsible AI principles. 2025 RAI Transparency Report Responsible AI at Microsoft Our commitment to responsible AI</h2> "> Our commitment to responsible AI

 At Microsoft we&#39;re committed to responsibly designing, building, and releasing AI technologies—keeping humans at the center and guided by our principles. We’ve distilled our commitment into six core values:  Fairness 
 Reliability and safety 
 Privacy and security 
 Transparency 
 Accountability 
 Inclusiveness 
 See our principles News and insights</h2> "> News and insights

 Explore Microsoft’s approach to responsible AI through our policies, research and engineering. All Policy Research Engineering Previous Next Previous Slide 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 Next Slide AI Diffusion Report: Where AI is most used, developed,&nbsp;and built</h3> "> Research AI Diffusion Report: Where AI is most used, developed, and built 

 Learn more Advancing AI to meet&nbsp;the&nbsp;needs of the global majority</h3> "> Research Advancing AI to meet the needs of the global majority 

 Learn more Cyber defense insights from 2025 Microsoft Digital Defense Report</h3> "> Policy Cyber defense insights from 2025 Microsoft Digital Defense Report 

 Read the blog Advancing&nbsp;AI&nbsp;testing and&nbsp;evaluation&nbsp;with&nbsp;learnings from&nbsp;science and&nbsp;industry</h3> "> Research Advancing AI testing and evaluation with learnings from science and industry 

 Listen to the series Sharing updates to our practices in the 2025 Responsible AI Transparency Report</h3> "> Policy Sharing updates to our practices in the 2025 Responsible AI Transparency Report 

 Read the blog Introducing Microsoft’s European digital commitments</h3> "> Policy Introducing Microsoft’s European digital commitments 

 Read the blog Evaluating and understanding progress in AI</h3> "> Research Evaluating and understanding progress in AI 

 Read the blog Learn how Microsoft is helping organizations navigate and comply with the European Union AI Act.</h3> "> Policy Learn how Microsoft is helping organizations navigate and comply with the European Union AI Act. 

 Read the blog Identifying potential risk in more than 100 generative AI products</h3> "> Engineering Identifying potential risk in more than 100 generative AI products 

 Read the blog Introducing Phi-4: A 14-billion parameter language model</h3> "> Research Introducing Phi-4: A 14-billion parameter language model 

 Read report Streamlining ergonomics for developers and users</h3> "> Research Streamlining ergonomics for developers and users 

 Read t

... (truncated, 18 KB total)
Resource ID: dd1c59d8d7c26f28 | Stable ID: ZGE2OWUxY2