AI Workplace Discussion

A working slide deck for discussion and facilitation

Why This Conversation

• AI tools are already changing how work gets done.
• The useful question is not whether to use AI, but where it helps and where it creates risk.
• Good policy needs practical examples from actual workflows.

Discussion Goals

• Identify high-value use cases.
• Separate productivity gains from quality or compliance risks.
• Agree on norms for responsible experimentation.

Where AI Helps

• Drafting and editing routine text.
• Summarizing long documents or meeting notes.
• Generating first-pass code, queries, templates, or checklists.
• Brainstorming alternatives before human judgment takes over.

Where To Be Careful

• Private, confidential, or regulated data.
• Facts that require current or source-specific accuracy.
• Decisions that materially affect people.
• Outputs that may carry legal, ethical, or reputational consequences.

Practical Norms

• Use AI for drafts, not unattended final decisions.
• Verify important claims against reliable sources.
• Keep sensitive data out of tools that are not approved for it.
• Document when AI materially shaped externally shared work.

Small-Group Prompt

Pick one recurring task in your work. What would you be comfortable delegating to AI, what would you keep human-led, and what would need to be checked before anyone relied on the output?

Report Back

• One promising use case.
• One risk or boundary condition.
• One norm that would make experimentation safer.

Next Steps

• Choose a small number of workflows to pilot.
• Define review standards before rollout.
• Collect examples of what worked and what failed.
• Revise guidance as tools and practices change.