Paper Info
Title
Precarity: Modeling the Long Term Effects of Compounded Decisions on Individual Instability
Abstract
When it comes to studying the impacts of decision making, the research has been largely focused on examining the fairness of the decisions, the long-term effects of the decision pipelines, and utility-based perspectives considering both the decision-maker and the individuals. However, there has hardly been any focus on precarity which is the term that encapsulates the instability in people's lives. That is, a negative outcome can overspread to other decisions and measures of well-being. Studying precarity necessitates a shift in focus - from the point of view of the decision-maker to the perspective of the decision subject. This centering of the subject is an important direction that unlocks the importance of parting with aggregate measures to examine the long-term effects of decision making. To address this issue, in this paper, we propose a modeling framework that simulates the effects of compounded decision-making on precarity over time. Through our simulations, we are able to show the heterogeneity of precarity by the non-uniform ruinous aftereffects of negative decisions on different income classes of the underlying population and how policy interventions can help mitigate such effects.
Year
DOI
Venue
2021
10.1145/3461702.3462529
AIES '21: PROCEEDINGS OF THE 2021 AAAI/ACM CONFERENCE ON AI, ETHICS, AND SOCIETY
Keywords
DocType
Citations 
Precarity, Algorithmic decision-making, Long-term effects, Economics
Conference
0
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
Pegah Nokhiz100.34
Aravinda Kanchana Ruwanpathirana200.68
Neal Patwari33805241.58
Suresh Venkatasubramanian42675190.15