Learn what is societal bias, a type of bias that results from data being labeled according to stereotypes, prejudices, or norms that exist in the society, and how it can affect the data quality and fairness of AI systems.
Table of Contents
Question
Which type of bias results from data being labeled according to stereotypes?
A. Association
B. Societal
C. Interaction
Answer
B. Societal
Explanation
The correct answer is B. Societal. Societal bias is a type of bias that results from data being labeled according to stereotypes, prejudices, or norms that exist in the society. Societal bias can affect the data quality and fairness of AI systems, as it can reflect or reinforce the existing inequalities or discriminations based on factors such as gender, race, ethnicity, age, or disability.
For example, societal bias can occur when data is labeled based on gender stereotypes, such as associating certain occupations, roles, or traits with men or women, or when data is labeled based on racial stereotypes, such as associating certain names, appearances, or behaviors with certain ethnic groups.
Societal bias results from data being labeled according to stereotypes. Societal bias is a type of bias that reflects the assumptions, norms, or values of a specific society or culture. For example, societal bias can occur when data is labeled based on gender, race, ethnicity, or religion stereotypes.
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