This article presents an overview of the ethically questionable business strategies of data mining and automated prediction with respect to vulnerable populations of consumers. It first provides a summary of the privacy and ethical issues that arise when high-tech internet-based organizations collect and analyze large quantities of personal data from the users of their systems and how these data are analyzed to make assumptions and projections on individual behaviors. It then discusses how these actions might be technically legal but violate established moral and ethical standards. The paper also highlights the role that governments can play in limiting the ability of large tech-based companies to mine personal information for commercial application. The article closes with suggestions for future research.

中文翻译：

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针对弱势群体：数据挖掘、自动预测和集中营销的伦理影响

本文概述了数据挖掘和自动预测在道德上有问题的商业策略关于弱势消费者群体。它首先概述了基于互联网的高科技组织收集和分析其系统用户的大量个人数据时出现的隐私和道德问题，以及如何分析这些数据以对个人行为做出假设和预测。然后讨论这些行为如何在技术上合法但违反既定的道德和伦理标准。该论文还强调了政府在限制大型科技公司为商业应用挖掘个人信息的能力方面可以发挥的作用。文章最后提出了对未来研究的建议。