Capabilities and limits
Learn where generative AI can help, where it can fail, and why confident output is not proof of accuracy.
Responsible AI at Work
Beginner-friendly education for teams using Microsoft 365 Copilot and other approved AI tools for everyday work.
The learning path
The program starts with ordinary workplace tasks and adds the safeguards employees need before AI-assisted output is shared, relied on, or used to change a record.
Learn where generative AI can help, where it can fail, and why confident output is not proof of accuracy.
Use goal, context, approved sources, and expected format to create useful drafts without oversharing.
Check facts, citations, calculations, tone, recipients, and policy requirements before use.
Follow organizational rules for data, tools, decisions, records, escalation, and prohibited uses.
Responsible use curriculum
Examples use fictional or approved nonsensitive information. Training does not require employees to upload confidential records.
Practice scenarios
Teams can practice responsible use without turning AI into an autonomous decision-maker.
Morning routine
Summarize an approved calendar, draft a meeting checklist, and identify questions requiring human follow-up.
Communication
Draft a neutral update using approved source material, then verify accuracy, audience, and tone.
Manager review
Decide whether an AI-assisted task may proceed, needs more evidence, or should return to a manual process.
Build practical AI literacy
We can start with a beginner employee session, a manager workshop, or one approved workflow.