AI-powered tools in recruitment are only as unbiased as the data fed into them. Historical hiring data, often used to train these systems, may carry inherent gender biases, leading to a preference for a specific gender for certain roles. Awareness and corrective measures, including the diversification of training datasets, are crucial to address this issue and ensure fairer hiring practices.
- 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.