Enhancing AI safety: Insights and lessons from red teaming
Drawing from our experience, we’ve identified eight main lessons that can help business leaders align AI red teaming efforts with real-world risks.
Responsible AI
We’re committed to making sure AI systems are developed responsibly and in ways that warrant people’s trust.
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Driving inclusion and accessibility with Microsoft 365 Copilot
Nonprofits are using Microsoft 365 Copilot to increase inclusion internally and champion equity in the communities they serve. -
Azure
Explore the business case for responsible AI in new IDC whitepaper
This whitepaper, based on IDC’s Worldwide Responsible AI Survey sponsored by Microsoft, offers guidance to business and technology leaders on how to systematically build trustworthy AI. -
Collaborating for impact: How AI is transforming Australia and New Zealand industries
The AI Tour in Sydney showcased how visionary Australian organizations are already revolutionizing industries. -
Seizing the AI opportunity: How to transform Canada’s economy by 2030
Canada is not only addressing present challenges but also paving the way for a future where AI drives meaningful innovation and transformation. -
More value, less risk: How to implement generative AI across the organization securely and responsibly
The technology landscape is undergoing a massive transformation, and AI is at the center of this change. -
AI safety first: Protecting your business and empowering your people
Microsoft has created some resources like the Be Cybersmart Kit to help organizations learn how to protect themselves. -
3 ways social impact organizations can leverage AI to transform outcomes at scale
We are supporting nonprofits through technology, and particularly by leveraging Azure AI, to deepen their impact in three significant ways. -
Microsoft Source
Fighting deepfakes with more transparency about AI
Supporting a more trustworthy information ecosystem with responsible AI tools and practices is just one way Microsoft is fighting harmful deepfakes. -
3 key features and benefits of small language models
Bigger is not always necessary in the rapidly evolving world of AI, and that is true in the case of small language models (SLMs). -
Official Microsoft Blog
Microsoft Trustworthy AI: Unlocking human potential starts with trust
At Microsoft, we have commitments to ensuring Trustworthy AI and are building industry-leading supporting technology. -
Microsoft Source
Measurement is the key to helping keep AI on track
This new approach to measurement, or defining and assessing risks in AI and ensuring solutions are effective, looks at both social and technical elements of how the generative technology interacts with people.