Is Machine Learning Unsafe and Irresponsible in Social Sciences? Paradoxes and Reconsidering from Recidivism Prediction Tasks

Jianhong Liu, Dianshi Li
11/11/2023
cs.CYcs.AIstat.AP

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Abstract

The paper addresses some fundamental and hotly debated issues for high-stakes event predictions underpinning the computational approach to social sciences. We question several prevalent views against machine learning and outline a new paradigm that highlights the promises and promotes the infusion of computational methods and conventional social science approaches.

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Cite this paper

@article{liu2023machine,
  title  = {Is Machine Learning Unsafe and Irresponsible in Social Sciences? Paradoxes and Reconsidering from Recidivism Prediction Tasks},
  author = {Jianhong Liu and Dianshi Li},
  year   = {2023},
  eprint = {2311.06537},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2311.06537v1}
}

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