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Responsible AI courses and tutorials

Explore responsible AI learning for fairness, privacy, reliability, and human oversight, with practical guidance on evaluating an intended use.

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About Responsible AI

Responsible AI study examines how a system affects the people who use it and the people described by its data. Reliability, fairness, privacy, transparency, and accountability need concrete decisions. A checklist becomes useful when it changes a project design or review process.

Choose a useful starting point

The Microsoft Learn pathway here uses education examples. Its principles can inform wider discussion, but it does not supply legal approval or a complete sector-specific compliance program. Compare the intended audience and exercises with the context in which you plan to use AI.

Build on the lessons

Describe a fictional AI use case, identify who could be affected by an error, and choose a review or fallback process. Test an unsuitable input and explain what evidence would justify limiting the system's use.

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