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.
- Log in or register to contribute
Contribute to three or more articles across any domain to qualify for the Contributor badge. Please check back tomorrow for updates on your progress.