← 返回论文检索
AAAI 2024official proceedings

Interactive Human-Centric Bias Mitigation

Inge Vejsbjerg, Elizabeth M. Daly, Rahul Nair, Svetoslav Nizhnichenkov

PDF 由论文原始站点提供,PaperCompass 不保存论文文件。DOI 10.1609/aaai.v38i21.30582 ↗

摘要

Bias mitigation algorithms differ in their definition of bias and how they go about achieving that objective. Bias mitigation algorithms impact different cohorts differently and allowing end users and data scientists to understand the impact of these differences in order to make informed choices is a relatively unexplored domain. This demonstration presents an interactive bias mitigation pipeline that allows users to understand the cohorts impacted by their algorithm choice and provide feedback in order to provide a bias mitigated pipeline that most aligns with their goals.