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Data mining: an ethical baseline for online privacy policies

机译:数据挖掘:在线隐私政策的道德基准

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Purpose - The purpose of this paper is to advocate for and provide guidance for the development of a code of ethical conduct surrounding online privacy policies, including those concerning data mining. The hope is that this research generates thoughtful discussion on the issue of how to make data mining more effective for the business stakeholder while at the same time making it a process done in an ethical way that remains effective for the consumer. The recognition of the privacy rights of data mining subjects is paramount within this discussion. Design/methodology/approach - The authors derive foundational principles for ethical data mining. First, philosophical literature on moral principles is used as the theoretical foundation. Then, using existing frameworks, including legislation and regulations from a range of jurisdictions, a compilation of foundational principles was derived. This compilation was then evaluated and honed through the integration of stakeholder perspective and the assimilation of moral and philosophical precepts. Evaluating a sample of privacy policies hints that current practice does not meet the proposed principles, indicating a need for changes in the way data mining is performed. Findings - A comprehensive framework for the development a contemporary code of conduct and proposed ethical practices for online data mining was constructed. Research limitations/implications - This paper provides a configuration upon which a code of ethical conduct for performing data mining, tailored to meet the particular needs of any organization, can be designed. Practical implications - The implications of data mining, and a code of ethical conduct regulating it, are far-reaching. Implementation of such principles serve to improve consumer and stakeholder confidence, ensure the enduring compliance of data providers and the integrity of its collectors, and foster confidence in the security of data mining. Originality/value - Existing legal mandates alone are insufficient to properly regulate data mining, therefore supplemental reference to ethical considerations and stakeholder interest is required. The adoption of a functional code of general application is essential to address the increasing proliferation of apprehension regarding online privacy.
机译:目的-本文的目的是提倡并为围绕在线隐私政策(包括与数据挖掘有关的政策)的道德行为守则的制定提供指导。希望这项研究就如何使数据挖掘对业务利益相关者更有效,同时使其以符合道德的方式完成的过程对消费者仍然有效的问题引起了深刻的讨论。在此讨论中,对数据挖掘主体的隐私权的认可是至关重要的。设计/方法/方法-作者得出道德数据挖掘的基本原则。首先,关于道德原则的哲学文献被用作理论基础。然后,利用现有框架,包括来自多个司法管辖区的立法和法规,得出了一些基本原则。然后,通过利益相关者观点的整合以及道德和哲学戒律的融合,对这一汇编进行了评估和完善。对隐私策略的样本进行评估表明,当前的做法不符合所提议的原则,这表明需要更改数据挖掘的方式。调查结果-建立了发展现代行为守则和在线数据挖掘建议的道德规范的综合框架。研究的局限性/意义-本文提供了一种配置,可以在该配置上设计用于满足任何组织的特定需求的,用于进行数据挖掘的道德行为守则。实际意义-数据挖掘的意义和规范其行为的道德行为意义深远。实施这些原则有助于提高消费者和利益相关者的信心,确保数据提供者的持久合规性及其收集者的完整性,并增强对数据挖掘安全性的信心。原创性/价值-仅现有的法律授权不足以适当地规范数据挖掘,因此需要补充提及道德考量和利益相关者的利益。通用应用功能代码的采用对于解决对在线隐私日益增长的担忧至关重要。

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