Fairness and bias in algorithmic hiring: A multidisciplinary survey
Employers are adopting algorithmic hiring technology throughout the recruitment pipeline.
Algorithmic fairness is especially applicable in this domain due to its high stakes and …
Algorithmic fairness is especially applicable in this domain due to its high stakes and …
[PDF][PDF] Fairness and Bias in Algorithmic Hiring: A Multidisciplinary Survey
F ALESSANDRO, N BARANOWSKA, MJ DENNIS… - 2024 - alessandro-fabris.github.io
Employers are adopting algorithmic hiring technology throughout the recruitment pipeline.
Algorithmic fairness is especially applicable in this domain due to its high stakes and …
Algorithmic fairness is especially applicable in this domain due to its high stakes and …
Causality for Fair Machine Learning: Selected Topics and Applications
JM Alvarez - 2024 - tesidottorato.depositolegale.it
This thesis is about how we can use causality, in particular, in the form of structural causal
models (SCM), to address fair machine learning (Fair ML) problems. We use SCM as …
models (SCM), to address fair machine learning (Fair ML) problems. We use SCM as …