Track quiz
Show on a big screenKeep these four lines in mind before you answer.
| Idea | The line to keep |
|---|---|
| Unfair picks | Bias is an unfair preference for or against someone. An AI can learn it from data, design or its makers. |
| Five kinds | Bias has five common kinds: data, historical, measurement, algorithmic and human. |
| Three reported mistakes | Check who is in the data, what it copies, what it measures. |
| A person in charge | For big decisions, a person checks the answer and decides. The makers and users of a program answer for what it does. |
Which sentence describes bias?
A teacher picks a running team by the colour of bags. Why is this unfair?
Where can an AI's bias start?
A program trained mostly on adult photos fails for children. Which kind is it?
A program trained on old lists copies their unfair choices. Which kind is it?
A program rates teachers by worksheets handed out, not by learning. Which kind is it?
A program counts one detail far more than all the others. Which kind is it?
What had the hiring program in the case learned from?
What went wrong in the health program?
What did the face program study find?
A program works well on average. What can still be true?
Which answer most needs a person to check it?
What does human in the loop mean?
Who answers for what a program does?
Why is it good when a program can show its reasons?
You can now say what bias is and name its five kinds. You know three reported mistakes and the check each one taught. You know why a person must check big decisions.
Reveal every answer to finish this lesson.
That is the end of this subject for Class 7
Nicely done. There is more waiting at this same level — pick whichever you like.