Socio-economic Factors in Data Collection

Socio-economic factors can lead to biases in AI because data might be more readily available or of higher quality for certain groups. For example, wealthier demographics might generate more data (due to higher usage of technology), leading AI systems to be better trained to serve these groups than less represented ones.

Socio-economic factors can lead to biases in AI because data might be more readily available or of higher quality for certain groups. For example, wealthier demographics might generate more data (due to higher usage of technology), leading AI systems to be better trained to serve these groups than less represented ones.

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