The very methods we use to collect and prepare data for AI training can introduce biases. For example, if data is primarily collected from certain geographic regions or demographics, the resulting AI systems may not perform well for underrepresented groups, leading to biased outcomes.
- 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.