Using Diverse and Representative Training Data

AI systems often learn bias from the data they are trained on. To mitigate this, companies must curate training datasets that are diverse and representative of all demographic groups. This approach helps AI models assess candidates more fairly, reflecting a broad spectrum of backgrounds, experiences, and qualifications without favoritism.