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September 10, 2025Journal of Informatics Education and Research

AI and Bias in Recruitment: Ensuring Fairness in Algorithmic Hiring.

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Authors

MAMagnus Chukwuebuka Ahuchogu

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Overview

This analysis explores algorithmic bias in recruitment, highlighting fairness challenges in AI, suggesting solutions for equitable hiring.

Key Points

  • Algorithmic bias affects hiring outcomes, potentially reinforcing societal inequalities.
  • The study highlights regulation frameworks like the EU AI Act, emphasizing accountability in AI systems.
  • Proposed solutions include diverse training datasets and bias mitigation techniques to ensure fairness.
  • Human oversight in recruitment is crucial to maintain ethical standards and build trust in AI-driven hiring.

Cite This Study

Magnus Chukwuebuka Ahuchogu (2025) studied this question.

synapsesocial.com/papers/68c1bd4854b1d3bfb60ef080https://doi.org/10.52783/jier.v5i3.3262
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