2021/04/24 by Pegah Nokhiz, Aravinda Kanchana Ruwanpathirana, Nokhiz, Pegah +5 · 2 citations
Health Professions · Psychology · Social Sciences · #Artificial Intelligence (cs.AI) #Computers and Society (cs.CY) #Employment and Welfare Studies #FOS: Computer and information sciences #Income, Poverty, and Inequality #Psychological Well-being and Life Satisfaction
paper · pdf · doi:10.48550/arxiv.2104.12037
openalex publication_date 2021/04/24 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
When it comes to studying the impacts of decision making, the research has\nbeen largely focused on examining the fairness of the decisions, the long-term\neffects of the decision pipelines, and utility-based perspectives considering\nboth the decision-maker and the individuals. However, there has hardly been any\nfocus on precarity which is the term that encapsulates the instability in\npeople's lives. That is, a negative outcome can overspread to other decisions\nand measures of well-being. Studying precarity necessitates a shift in focus -\nfrom the point of view of the decision-maker to the perspective of the decision\nsubject. This centering of the subject is an important direction that unlocks\nthe importance of parting with aggregate measures to examine the long-term\neffects of decision making. To address this issue, in this paper, we propose a\nmodeling framework that simulates the effects of compounded decision-making on\nprecarity over time. Through our simulations, we are able to show the\nheterogeneity of precarity by the non-uniform ruinous aftereffects of negative\ndecisions on different income classes of the underlying population and how\npolicy interventions can help mitigate such effects.\n