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The document discusses the impact of AI on hiring decisions through two theories: Person–Job Fit, which emphasizes skill matching but risks overlooking cultural fit, and Social Identity Theory, which highlights the dangers of bias in AI trained on homogeneous data. It also addresses automation bias and algorithm aversion, noting that while AI can efficiently evaluate candidates, it requires oversight to mitigate biases. Lastly, it introduces the FAT framework (Fairness, Accountability, Transparency) as esse
- Author
- Arfa tayyab
- Language
- EN