๐ Topic Summary
Algorithms are sets of instructions that computers follow to solve problems or complete tasks. Just like humans, algorithms can sometimes be biased. This means they might unfairly favor certain groups over others. In this activity, we'll explore how bias can unintentionally creep into algorithms and what we can do to make them fairer. It's all about making sure everyone gets a fair shot in the digital world!
๐ง Part A: Vocabulary
Match the term with its definition:
| Term |
Definition |
| 1. Algorithm |
A. Unfair preference for or against something. |
| 2. Bias |
B. Data used to train an algorithm. |
| 3. Data |
C. A set of instructions for solving a problem. |
| 4. Fairness |
D. Making sure everyone has equal opportunities. |
| 5. Input |
E. Information fed into a system or algorithm |
Answers: 1-C, 2-A, 3-B, 4-D, 5-E
๐ Part B: Fill in the Blanks
Algorithms are used to make decisions based on the ___________ they are given. If the data is ____________, the algorithm's decision can be biased. It's important to check the data and the algorithm to make sure they are ____________ and do not unfairly favor one group over another. This helps promote ____________ in technology.
Word Bank: fair, data, biased, input
Answers: data, biased, fair, fairness
๐ก Part C: Critical Thinking
Imagine you're creating an algorithm to select students for a coding club. What kind of data might unintentionally introduce bias, and how could you prevent it?