1 Answers
📚 Quick Study Guide
- 📊 Data Bias: Occurs when data used for analysis doesn't accurately represent the real world, leading to unfair or skewed results.
- 👧👦 Bias in Training Data: If the data used to train a computer system mostly includes information from one group, the system might not work well for others.
- 🤖 Algorithmic Bias: This happens when an algorithm makes decisions based on biased data, perpetuating unfair outcomes.
- 🔎 Identifying Bias: Look for imbalances in data representation and consider whether the data reflects the diversity of the real world.
- 💡 Mitigating Bias: Collect diverse data, use fairness-aware algorithms, and regularly audit systems for bias.
Practice Quiz
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Which of the following is the BEST definition of data bias?
- A) Data that is always correct.
- B) Data that unfairly favors one group over another.
- C) Data that is easy to understand.
- D) Data that is collected randomly.
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Imagine a computer program is trained to recognize faces, but it's mostly trained with pictures of adults. What kind of problem might this cause?
- A) It might work perfectly for everyone.
- B) It might not recognize children's faces as well.
- C) It might become better at recognizing animals.
- D) It might start speaking a different language.
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A school uses a computer program to decide which students need extra help in reading. If the program is trained on data that mostly includes boys, what could happen?
- A) It will accurately identify all students who need help.
- B) It might overlook girls who also need help.
- C) It will only help boys improve their reading.
- D) It will become better at teaching math.
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What is one way to help reduce data bias?
- A) Only use data from one source.
- B) Collect data that represents many different groups.
- C) Ignore any data that seems different.
- D) Use the same data over and over again.
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A toy company creates a robot that tells jokes. If the robot is trained only on jokes that boys find funny, what problem might occur?
- A) Girls might not find the jokes funny.
- B) The robot might start telling scary stories.
- C) The robot might become a better dancer.
- D) The robot might start speaking in a different accent.
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If a website uses data to recommend toys, and the data mostly comes from parents buying toys for boys, what might happen?
- A) The website might only recommend toys for boys.
- B) The website will recommend the best toys for everyone.
- C) The website will start selling clothes instead.
- D) The website will become a social media platform.
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Why is it important to check data for bias?
- A) To make sure computers are always right.
- B) To make sure everyone is treated fairly.
- C) To make data more confusing.
- D) To make computers more expensive.
Click to see Answers
- B
- B
- B
- B
- A
- A
- B
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