Exploring Responsible AI

With great power comes great responsibility.

While AI offers powerful capabilities, it also brings risks. Learn about the importance of maintaining a responsible approach to AI. Explore potential risks and learn about tools, resources, and best practices that will help you get the most out of AI while being responsible and minimizing risks.

Take the Microsoft Learn AI Skills Challenge
Dive into the latest AI technologies like Microsoft Copilot, GitHub, Microsoft Azure, and Microsoft Fabric. Explore six curated topics designed to elevate your skills, participate in interactive community events, and gain insights from expert-led sessions.

Generative AI challenge: Fundamentals of responsible generative AI
Developers and data scientists creating generative AI solutions need to adopt a responsible approach. Learn the set of guidelines for responsible GenAI defined by experts at Microsoft, building on its Responsible AI standard.

Responsible AI resources for developers
Check out this blog post for an overview of Responsible AI and the Responsible AI Standard guidelines. Learn about Microsoft tools and resources, such as the Responsible AI Dashboard, to help aid developers in building and monitoring AI solutions responsibly.

Develop generative AI solutions with Azure OpenAI Service
Build generative AI solutions responsibly with Azure OpenAI Service. This free learning path from Microsoft Learn will help you get started.

GitHub: Using generative AI responsibly
Why should you prioritize Responsible AI when building a GenAI application? This course on GitHub explores risks (such as generating incorrect information or creating blatantly harmful content) and principles for building AI solutions responsibly. 

New blog series: Responsible AI from principles to practice
At its core, Responsible AI is about developing, deploying, and managing AI systems in a way that is ethical and secure. This new blog series will cover concepts, tools, and practical examples of responsible AI.

Explore tools and best practices for responsible AI
Evaluate, understand, and make informed decisions about your AI systems. Check out this page for tools, best practices, and other resources to help you understand, plan, and implement AI responsibly.

Build Copilot agents with Microsoft Copilot Studio and supercharge your business
Learn about Copilot agents. Find out how to create, manage, and deploy Copilot agents using Microsoft Copilot Studio.

Microsoft Learn: Fundamentals of Responsible Generative AI
Ready to learn the fundamentals of responsible Generative AI? Then check out this free module from Microsoft Learn.

The future of AI: Exploring multi-agent AI systems
Explore the potential of multi-agent AI systems using Semantic Kernel and other frameworks on Azure AI. Discover how developers can create sophisticated AI solutions where multiple agents collaborate to solve intricate problems, ensuring accuracy and efficiency.