Exploring Responsible AI – Microsoft Community Hub

With great power comes great responsibility.

AI offers powerful capabilities, but it also brings risks. Learn about the importance of maintaining a responsible approach to AI. Learn about tools, resources, and best practices to help you navigate potential risks, be accountable, and get the most out of AI while minimizing risk.

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

Generative AI Challenge: Fundamentals of Responsible Generative AI
Developers and data scientists creating generative AI solutions must adopt a responsible approach. Discover a set of guidelines for responsible GenAI defined by Microsoft experts, based on the Responsible AI Standard.

Responsible AI Resources for Developers
For an overview of Responsible AI and the Responsible AI standard guidelines, check out this blog post. Learn about Microsoft tools and resources, like the Responsible AI Dashboard, that help developers responsibly build and monitor AI solutions.

Develop generative AI solutions using Azure OpenAI service
Build generative AI solutions responsibly using Azure OpenAI services. Microsoft Learn’s free learning paths can help you get started.

GitHub: Using Generative AI Responsibly
Why should you prioritize Responsible AI when building GenAI applications? This course from GitHub explores the risks (such as creating misinformation or outright harmful content) and principles for building AI solutions responsibly.

New blog series: Responsible AI from principles to practice
The core of Responsible AI is developing, deploying, and managing AI systems in an ethical and safe manner. In this new blog series, we will cover the concepts, tools, and real-world examples of responsible AI.

Explore tools and best practices for responsible AI
Evaluate, understand, and make informed decisions about AI systems. On this page, you’ll find tools, best practices, and other resources to help you understand, plan, and implement AI responsibly.

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

Microsoft Learn: The Fundamentals of Responsibly Generated AI
Ready to learn the basics of responsible Generative AI? Then check out this free module on 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 in Azure AI. Learn how developers can create sophisticated AI solutions that enable multiple agents to work together to solve complex problems and ensure accuracy and efficiency.