Martin Kelly D, Zimmermann Johanna
Tinberg "Business for a Better World" University Professor and Professor of Marketing, Colorado State University, Fort Collins, CO 80523-1278, USA; DFG Research Training Group 2720: "Digital Platform Ecosystems (DPE)", University of Passau, Germany; School of Management Sciences, North-West University, Potchefstroom, South Africa.
DFG Research Training Group 2720: "Digital Platform Ecosystems (DPE)", University of Passau, Germany; Marketing and Innovation, University of Passau, Innstraße 27, 94032 Passau, Germany.
Curr Opin Psychol. 2024 Aug;58:101829. doi: 10.1016/j.copsyc.2024.101829. Epub 2024 Jun 22.
Contemporary, multidisciplinary research sheds light on data privacy implications of artificial intelligence (AI). This review adopts an AI ecosystem perspective and proposes a process-outcome continuum to classify AI technologies; this perspective helps to understand the nuances of AI relative to psychological aspects of privacy decision-making. Specifically, different types of AI affect traditionally studied privacy decision-making frameworks including the privacy calculus, psychological ownership, and social influence in varied ways. By understanding how the process- or outcome-orientation of an AI technology affects privacy decision-making, we explain how AI creates privacy benefits but also poses challenges. Future research is needed across privacy decision-making, but also more generally at the intersection of privacy and AI, to help foster an ethical, sustainable society.
当代多学科研究揭示了人工智能(AI)对数据隐私的影响。本综述采用人工智能生态系统视角,提出了一个过程-结果连续体来对人工智能技术进行分类;这一视角有助于理解人工智能相对于隐私决策心理方面的细微差别。具体而言,不同类型的人工智能以不同方式影响传统研究的隐私决策框架,包括隐私权衡、心理所有权和社会影响。通过理解人工智能技术的过程导向或结果导向如何影响隐私决策,我们解释了人工智能如何创造隐私益处,但也带来挑战。不仅在隐私决策领域,而且更广泛地在隐私与人工智能的交叉领域,都需要未来的研究,以帮助培育一个道德、可持续的社会。
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