Ethics in practice
Five short lessons in making a better decision.
Start with the privacy and bias videos in Code.org’s How AI Works series. Then read or act out these original AI Lab scenarios.
1. The blank slide
A team uses AI to brainstorm a presentation. Before presenting, it checks the claims, adds real sources, and records how the tool helped.
Discuss: What would you need to explain without the tool? What belongs in your assistance log?
2. The shortcut
A classmate asks for a trick to get AI to do a prohibited assignment. You decline and offer to explain the underlying concept or practice an allowed example.
Discuss: How is teaching a concept different from supplying a hidden answer? What should you do if the rule is unclear?
3. The customer list
A group wants to upload real customer contact details for a sorting exercise. It replaces them with invented rows that teach the same skill.
Discuss: Which details are unnecessary? Who can approve real data access?
4. The confident answer
An AI-generated claim sounds certain but has no verifiable source. The team labels it unverified, checks a reliable source, and corrects its report.
Discuss: What evidence would change your mind? How should you describe the uncertainty?
5. Stop and check
A print behaves unexpectedly. Students step back and tell the instructor rather than reaching into the machine. The instructor follows the equipment procedure.
Discuss: Which actions require supervision? How do you report the problem without making it worse?
For instructors
Download five original video scripts and storyboards and the discussion guide. The scripts are ready for review and recording; Moon Lake videos have not yet been produced.