id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
fpq-14191	Lin, Ting-An; Chen, Po-Hsuan Cameron	Artificial Intelligence in a Structurally Unjust Society	2022	32	.pdf	application/pdf	13677	749	44	Using AI in health care as a case study, we argue that AI bias is a form of structural injustice that exists when AI systems interact with other social factors to exacerbate existing social inequalities, making some groups of people more vulnerable to undeserved burdens while conferring unearned benefits to others. In other words, this paper aims to conduct what Sally Haslanger (2000) calls an ameliorative project for the notions of AI bias and AI fairness by asking how these concepts should be used to better serve the purposes of using them.2 We suggest understanding AI bias as a form of structural injustice that exists when AI systems interact with other social factors to exacerbate existing social inequalities, making some groups of people more vulnerable to undeserved burdens 2	cache/fpq-14191.pdf	txt/fpq-14191.txt