• Corpus ID: 239998542

Fair Sequential Selection Using Supervised Learning Models

@article{Khalili2021FairSS,
  title={Fair Sequential Selection Using Supervised Learning Models},
  author={Mohammad Mahdi Khalili and Xueru Zhang and Mahed Abroshan},
  journal={ArXiv},
  year={2021},
  volume={abs/2110.13986}
}
We consider a selection problem where sequentially arrived applicants apply for a limited number of positions/jobs. At each time step, a decision maker accepts or rejects the given applicant using a pre-trained supervised learning model until all the vacant positions are filled. In this paper, we discuss whether the fairness notions (e.g., equal opportunity, statistical parity, etc.) that are commonly used in classification problems are suitable for the sequential selection problems. In… 

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References

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