Responsible AI Usage & Productivity with Microsoft Copilot Training — Lesson 3: Risk, Data, and Output Validation

Topics Covered

• data sensitivity
• hallucination awareness
• fact checking
• appropriate-use boundaries

Practical Activity

• Document the scenario, assumptions, stakeholders, and expected business or technical outcome.
• Complete a guided configuration, analysis, or design exercise aligned to the lesson topics.
• Record validation evidence, risks, dependencies, and corrective actions.
• Summarize the result in a reusable implementation or operating note.

Validation Checklist

• Requirements and assumptions are clearly documented.
• The selected Microsoft features or services match the scenario.
• Security, governance, and operational impacts are considered.
• The final result includes evidence and actionable next steps.

Lesson Outcome

Learners can explain and apply risk, data, and output validation within a realistic responsible AI and productivity with Microsoft Copilot scenario.