信息生态系统中的人工智能:日常信息搜索的适应性

IF 2.8 2区 管理学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS
Noora Hirvonen, Ville Jylhä, Yucong Lao, Stefan Larsson
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引用次数: 0

摘要

在这篇概念性文章中,我们认为,人工智能(AI)系统正在为日常信息实践创造一个可负担的环境,通过这种环境,人工智能系统对人类和地球产生影响,而这种影响往往不为人们所认识。我们将重点放在日常生活中的信息搜索实践上,以此来说明我们的见解。我们认为,集成到搜索引擎、社交媒体平台、流媒体服务和媒体生成中的人工智能系统的可承受性,以一种自相矛盾的方式塑造了这些实践,既可能增加也可能减少信息的多样性和获取途径。我们讨论了这些发展对信息生态系统可持续性的潜在影响,并提出了通过监管和教育解决这些问题的方案。文章从图书馆与信息科学、科学与技术研究领域,以及对承受能力、日常信息实践和可持续性的研究中汲取养分,力求满足人们对人工智能对信息实践的影响和意义的更细致入微的理论见解的需求,并开发概念工具,从系统的角度审视人类与信息系统的共同进化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Artificial intelligence in the information ecosystem: Affordances for everyday information seeking

In this conceptual article, we argue that artificial intelligence (AI) systems are contributing to the generation of an environment of affordances for everyday information practices through which they exert influence on people and the planet in ways that often are left unrecognized. We illustrate our insights by focusing on the practices of information seeking in everyday life, suggesting that the affordances of AI systems integrated into search engines, social media platforms, streaming services, and media generation, shape such practices in ways that may, paradoxically, result both in the increase and reduction of diversity of and access to information. We discuss the potential implications of these developments in terms of the sustainability of information ecosystems and suggest solutions for addressing them through regulation and education. Drawing from the fields of library and information science and science and technology studies and research on affordances, everyday information practices, and sustainability, the article seeks to respond to the need for more nuanced theoretical insights on the impact and implications of AI on information practices and to develop conceptual tools with which to examine the co-evolution of humans and information systems from a systemic perspective.

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来源期刊
CiteScore
8.30
自引率
8.60%
发文量
115
期刊介绍: The Journal of the Association for Information Science and Technology (JASIST) is a leading international forum for peer-reviewed research in information science. For more than half a century, JASIST has provided intellectual leadership by publishing original research that focuses on the production, discovery, recording, storage, representation, retrieval, presentation, manipulation, dissemination, use, and evaluation of information and on the tools and techniques associated with these processes. The Journal welcomes rigorous work of an empirical, experimental, ethnographic, conceptual, historical, socio-technical, policy-analytic, or critical-theoretical nature. JASIST also commissions in-depth review articles (“Advances in Information Science”) and reviews of print and other media.
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