📚 Topic Summary
Algorithmic bias happens when a computer system makes unfair decisions because of the data it was trained on or how it was designed. These biases can discriminate against certain groups of people, even if the programmers didn't mean to! This worksheet helps you understand what algorithmic bias is and how to identify if an algorithm is fair or unfair. By understanding algorithmic bias, you can promote fair and equitable technology!
Algorithms are everywhere! From suggesting what videos to watch to helping decide who gets a loan, they impact our lives daily. It's essential to make sure these algorithms are fair and don't discriminate against anyone.
🧠 Part A: Vocabulary
Match the term with the correct definition:
| Term |
Definition |
| 1. Algorithm |
A. Unfairness or prejudice in an algorithm's output. |
| 2. Bias |
B. Data used to train an algorithm. |
| 3. Training Data |
C. A set of rules a computer follows to solve a problem. |
| 4. Fairness |
D. Making sure everyone has equal opportunities and is treated justly. |
| 5. Algorithmic Bias |
E. Lack of prejudice or discrimination. |
✏️ Part B: Fill in the Blanks
Complete the following paragraph using the words: data, unfair, decisions, algorithm, bias.
An __________ is a set of instructions that a computer follows. If the __________ used to train the algorithm contains __________, the algorithm might make __________ __________ that disadvantage certain groups of people. Identifying and addressing this __________ is important for creating fair technology.
🤔 Part C: Critical Thinking
Imagine an algorithm is used to decide who gets an interview for a job. If the algorithm is trained on data that mostly includes men in leadership positions, how might this create bias? What could be done to make the algorithm more fair?