Enhancing Accountability through Transparency

Transparent algorithms in predictive recruitment models allow stakeholders to understand how decisions are made. When the inner workings are open, recruiters and candidates can identify potential biases or unfair criteria. Continuous auditing complements this by regularly checking the model’s performance and fairness metrics, ensuring that any deviations or emergent biases are promptly addressed, thus enhancing overall accountability.