Learn what is societal bias in AI, a type of bias that imposes a system’s values on others, and how it can affect the fairness, inclusiveness, and diversity of AI systems.
Table of Contents
Question
Which type of bias imposes a system‘s values on others?
A. Societal
B. Automation
C. Association
Answer
A. Societal
Explanation
The correct answer is A. Societal. Societal bias is a type of bias in AI that imposes a system’s values on others, either intentionally or unintentionally. Societal bias can result from the cultural, historical, or political context of the data, the algorithm, or the users. Societal bias can affect the fairness, inclusiveness, and diversity of AI systems, and cause harm or discrimination to certain groups or individuals. For example, an AI system that uses facial recognition to identify people may have a societal bias if it is trained on a dataset that is predominantly composed of people from a certain race, ethnicity, or gender. This may lead to the system performing poorly or inaccurately on people from other backgrounds, and violating their privacy or dignity.
Societal bias is the type of bias that imposes a system’s values on others. Societal bias is a type of bias that reflects the assumptions, norms, or values of a specific society or culture. Societal bias can affect the fairness and ethics of AI systems, as they may affect how different groups or domains are perceived, treated, or represented by AI systems. For example, societal bias can occur when AI systems impose a system’s values on others, such as using Western standards of beauty or success to judge or rank people from other cultures.
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