Understanding Algorithmic Bias to Improve Talent Acquisition Outcomes

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Key Takeaways While AI enhances recruitment efficiency, it can also introduce biases, leading to discrimination against certain groups, impacting diversity, and risking legal consequences. AI algorithms are trained by humans using data, which can unintentionally introduce bias if the data or the programmers exhibit biases. Implementing human oversight, auditing algorithms, and considering blind recruitment practices are essential to ensure fairness in AI-powered hiring processes.

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