Why do AI designers need to think about who might be harmed, not just who benefits?
- Because harm never really happens with AI
- Because helping most people is never enough if a rule still hurts someone else
- Because only the AI company matters, not the users
Which of these is a rule an AI designer might write for a school AI?
- Let a teacher check and change any decision the AI makes
- Only recommend things to students who already do well
- Never tell anyone what the AI decided
A real AI hiring tool once rejected qualified women because it learned from mostly male resumes.
Circle one: True False
Priya designs a school AI and writes: 'Help as many students as possible.' What is missing from her rule?
- A check for who the rule might leave out or hurt
- A way to make the AI faster
- A rule about what color the app should be
You are designing an AI helper for a school library. Which rule best protects every student?
- Recommend the most popular books to everyone
- Let the AI decide without any teacher checking its choices
- Recommend books to every student, not just students who already read a lot
A hospital lets an AI flag photos for doctors to review, but a real doctor always makes the final decision. Why is this a responsible use of AI?
- Because the AI works completely alone
- Because a person still checks and decides, so mistakes can be caught
- Because the hospital never checks the AI's work
An AI designer says: 'My rule is fair because it helps 95 percent of students.' What is wrong with this thinking?
- It ignores the other 5 percent, who might be seriously harmed
- Helping any students at all is always unfair
- 95 percent is not a real number
Which set of rules would work best for a fair school AI?
- Only help the top students, keep decisions secret, and never allow changes
- Help every student equally, but never let anyone check the AI's decisions
- Help every student equally, protect private information, and let a teacher override any decision