Working Responsibly
Decide where a human stays in the loop, what never goes into a prompt, whose work the output is, and how to notice bias before it ships.
- Lessons
- 8
- Exercises
- 44
- Minutes
- 46
- 1
Automation or Augmentation
After this lesson you can tell when AI should do a job without you and when it should make you better at a job you keep.
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Human Oversight and Approval Boundaries
After this lesson you can draw the line between what an AI may do on its own and what needs a person to say yes first.
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Privacy: What Not to Paste
After this lesson you can sort information into what may go into a prompt, what needs stripping first, and what never goes in.
DebugCode orderMultiple choice - 4
Intellectual Property
After this lesson you can say whose work an AI output is, what you may do with it, and when to be careful.
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Bias in Outputs
After this lesson you can notice when a model's answer leans on a stereotype or a default, and know the two habits that catch it.
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Your Responsible-Use Checklist
After this lesson you have a five-question checklist you can run in a minute before using AI output for anything that matters.
Code orderMultiple choiceTap - 7
Checkpoint: Lines and LimitsCheckpoint
Modes, boundaries, privacy, ownership and bias, in fresh situations.
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Boss: Approve or RejectBoss
Eight requests to use AI at work. Approve, reject, or reshape each one.
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