Understanding AI Bias

A voice assistant struggles to understand speakers with strong regional accents. What kind of bias is this?

• Label Bias

• Data Bias

• Algorithmic Bias

An AI tool was trained mostly on pictures of male doctors. Now, it often labels women in lab coats as nurses. What kind of bias is this? (Select all that apply)

• Data Bias

• Label Bias

• Algorithmic Bias

An AI resumes sorter automatically ranks applicants with certain last names higher. What type of bias is this?

• Label Bias

• Algorithmic Bias

• Data Bias

A student labels an image of a peach as a “mango.” The AI continues to make that mistake. What type of bias is this?

• Data Bias

• Label Bias

• Algorithmic Bias

A facial recognition system performs poorly on darker-skinned individuals because the training data mostly included lighter-skinned faces. What is this an example of?

• Algorithmic Bias

• Data Bias

• Label Bias

A social media platform’s algorithm shows fewer science videos to girls than boys. What type of bias is this?

• Data Bias

• Algorithmic Bias

• Label Bias

A health app misidentifies symptoms in women because it was trained mainly on male patient data. What bias is most responsible?

• Label Bias

• Algorithmic Bias

• Data Bias

An AI ranks schools from certain neighborhoods lower regardless of the students' achievements. What type of bias is this?

• Data Bias

• Label Bias

• Algorithmic Bias

A dataset includes images labeled by people who often confuse wolves and huskies. The AI struggles with these animals. Which bias is this?

• Algorithmic Bias

• Label Bias

• Data Bias

The algorithm is designed to favor applicants who use specific academic keywords, disadvantaging those with equivalent but less common terms. What kind of bias does this show?

• Data Bias

• Label Bias

• Algorithmic Bias