Summary
You now have a responsible AI strategy for a Copilot Studio agent that connects Microsoft's principles to the decisions you make about moderation, models, guardrails, and disclosure on the standard and GitHub Copilot harnesses.
What you learned
In this module, you learned how to:
- Turn the six responsible AI principles into design decisions, and separate the safeguards the platform provides from the ones you own.
- Set content moderation on each harness, diagnose a filtered response, and place exceptions at the narrowest scope that needs them.
- Judge a model's production readiness from its use tag, release type, safety notes, and the administrator controls that gate it.
- Layer instructions, approved knowledge, tool boundaries, and approvals into guardrails.
- Disclose the agent's use of AI and its limits to users.
Learn more
- Application Card: Microsoft Copilot Studio
- Platform Card and Responsible AI FAQs for Copilot Studio
- Apply responsible AI principles
- Configure settings for GitHub Copilot agents
- Model availability and controls (GitHub Copilot harness)
- Knowledge sources summary (standard harness)
- Change the model version and settings (standard harness)
- Resolve responsible AI content filter errors in Copilot Studio