以人为本:基于强化学习的个性化时代的伦理意识信息系统研究

IF 7 3区 管理学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS
Travis Greene, Galit Shmueli, Soumya Ray
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引用次数: 0

摘要

大规模商业平台上强化学习和隐式数据收集的进步标志着一个旨在自适应控制人类用户环境的个性化新时代的开始。我们提出了这种新的个性化范式的五个新兴特征,这些特征大规模地危及个人和社会,并分析了它们在减少个人自主权、破坏社会和政治制度稳定、促进大规模监视和社会控制等方面的潜力。我们认为,当前的数据保护法律,尤其是欧盟的《通用数据保护条例》,在充分解决这些问题方面的能力有限。尽管如此,我们相信,IS研究人员有能力参与和研究这个个性化的新时代。我们为基于道德意识的强化学习的个性化研究提出了三个不同的方向,这些方向非常适合整个社会技术领域的信息系统研究人员的优势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Taking the Person Seriously: Ethically Aware IS Research in the Era of Reinforcement Learning-Based Personalization
Advances in reinforcement learning and implicit data collection on large-scale commercial platforms mark the beginning of a new era of personalization aimed at the adaptive control of human user environments. We present five emergent features of this new paradigm of personalization that endanger persons and societies at scale and analyze their potential to reduce personal autonomy, destabilize social and political systems, and facilitate mass surveillance and social control, among other concerns. We argue that current data protection laws, most notably the European Union’s General Data Protection Regulation, are limited in their ability to adequately address many of these issues. Nevertheless, we believe that IS researchers are well-situated to engage with and investigate this new era of personalization. We propose three distinct directions for ethically aware reinforcement learning-based personalization research uniquely suited to the strengths of IS researchers across the sociotechnical spectrum.
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来源期刊
Journal of the Association for Information Systems
Journal of the Association for Information Systems 工程技术-计算机:信息系统
CiteScore
11.20
自引率
5.20%
发文量
33
审稿时长
>12 weeks
期刊介绍: The Journal of the Association for Information Systems (JAIS), the flagship journal of the Association for Information Systems, publishes the highest quality scholarship in the field of information systems. It is inclusive in topics, level and unit of analysis, theory, method and philosophical and research approach, reflecting all aspects of Information Systems globally. The Journal promotes innovative, interesting and rigorously developed conceptual and empirical contributions and encourages theory based multi- or inter-disciplinary research.
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