Is Machine Learning Unsafe and Irresponsible in Social Sciences? Paradoxes and Reconsidering from Recidivism Prediction Tasks
Computers and Society
2024-07-01 v1 Artificial Intelligence
Applications
Methodology
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.
Keywords
Cite
@article{arxiv.2311.06537,
title = {Is Machine Learning Unsafe and Irresponsible in Social Sciences? Paradoxes and Reconsidering from Recidivism Prediction Tasks},
author = {Jianhong Liu and Dianshi Li},
journal= {arXiv preprint arXiv:2311.06537},
year = {2024}
}