Jindal Atin
Division of Hospital Medicine The Miriam Hospital, Lifespan Health System, Warren Alpert Brown School of Medicine, Providence, RI.
Brown J Hosp Med. 2022 Sep 5;2(1):38021. doi: 10.56305/001c.38021. eCollection 2023.
Artificial Intelligence is being used today to solve a myriad of problems. While there is significant promise that AI can help us address many healthcare issues, there is also concern that health inequities can be exacerbated. This article looks specifically at predictive models in regards to racial bias. Each phase of the model building process including raw data collection and processing, data labelling, and implementation of the model can be subject to racial bias. This article aims to explore some of the ways in which this occurs.
如今，人工智能正被用于解决诸多问题。虽然人工智能极有可能帮助我们解决许多医疗保健问题，但也有人担心健康不平等问题可能会加剧。本文专门探讨预测模型中的种族偏见问题。模型构建过程的每个阶段，包括原始数据收集与处理、数据标注以及模型实施，都可能存在种族偏见。本文旨在探讨这种情况出现的一些方式。
