Algorithmic Fairness in Mortgage Lending: from Absolute Conditions to Relational Trade-offs
Algorithmic Fairness in Mortgage Lending: from Absolute Conditions to Relational Trade-offs
复制标题
抵押贷款的算法公平性:从绝对条件到关系权衡
DOI:
10.1007/s11023-020-09529-4
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发表时间:
2020
影响因子:
7.4
通讯作者:
L. Floridi
中科院分区:
文献类型:
--
作者:
M. S. Lee;L. Floridi
To address the rising concern that algorithmic decision-making may reinforce discriminatory biases, researchers have proposed many notions of fairness and corresponding mathematical formalizations. Each of these notions is often presented as a one-size-fits-all, absolute condition; however, in reality, the practical and ethical trade-offs are unavoidable and more complex. We introduce a new approach that considers fairness—not as a binary, absolute mathematical condition—but rather, as a relational notion in comparison to alternative decisionmaking processes. Using US mortgage lending as an example use case, we discuss the ethical foundations of each definition of fairness and demonstrate that our proposed methodology more closely captures the ethical trade-offs of the decision-maker, as well as forcing a more explicit representation of which values and objectives are prioritised.
DOI:
--
发表时间:
2018
期刊:
Neural Information Processing Systems (Nurips
影响因子:
--
作者:
Kim, Michael P.;Reingold, Omer;Rothblum, Guy N.
通讯作者:
Rothblum, Guy N.