生成式人工智能:不断发展的技术,日益增长的社会影响,以及信息系统研究的机会

IF 6.9 3区 管理学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS
Veda C. Storey, Wei Thoo Yue, J. Leon Zhao, Roman Lukyanenko
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引用次数: 0

摘要

基于大型语言模型和相关算法的生成式人工智能(GenAI)的持续爆炸性发展,引发了人们对这项新技术潜在影响的兴奋和猜测。有人声称,人工智能(AI)将彻底改变商业和社会,并极大地改变个人生活。然而,目前尚不清楚这种与过去人工智能技术显著不同的技术如何具有变革潜力,也不清楚信息系统的研究人员应该如何应对。在本文中,我们考虑了人工智能的发展和新兴趋势,以检查其现状并预测其未来的影响。对于大多数信息系统研究人员来说,许多关于GenAI的现有论文要么过于技术性,要么缺乏理解GenAI潜在影响所需的深度。因此,我们试图从面向系统的社会技术角度来连接GenAI的技术和组织社区。具体来说,我们探讨了GenAI的独特特征,这些特征植根于从象征主义到联结主义的持续变化,以及人类-人工智能生态系统的深层系统和固有属性。我们追溯了人工智能的演变,从今天的采用、适应和使用水平开始,以便在信息系统研究的背景下,对人工智能在商业和社会中的各种影响提出未来的研究建议。我们的努力旨在为信息系统社区建立一个结构良好的研究议程做出贡献,以支持这一新的人工智能浪潮所带来的创新战略和运营。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Generative Artificial Intelligence: Evolving Technology, Growing Societal Impact, and Opportunities for Information Systems Research

The continuing, explosive developments in generative artificial intelligence (GenAI), built on large language models and related algorithms, has led to much excitement and speculation about the potential impact of this new technology. Claims include artificial intelligence (AI) being poised to revolutionize business and society and dramatically change personal life. However, it is not clear how this technology, with its significantly distinct features from past AI technologies, has transformative potential or how researchers in information systems should react to it. In this paper, we consider the evolving and emerging trends of AI in order to examine its present and predict its future impacts. Many existing papers on GenAI are either too technical for most information systems researchers or lack the depth needed to appreciate the potential impacts of GenAI. We, therefore, attempt to bridge the technical and organizational communities of GenAI from a system-oriented sociotechnical perspective. Specifically, we explore the unique features of GenAI, which are rooted in the continued change from symbolism to connectionism, and the deep systemic and inherent properties of human-AI ecosystems. We retrace the evolution of AI that proceeded the level of adoption, adaption, and use found today, in order to propose future research on various impacts of GenAI in both business and society within the context of information systems research. Our efforts are intended to contribute to the creation of a well-structured research agenda in the information systems community to support innovative strategies and operations enabled by this new wave of AI.

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来源期刊
Information Systems Frontiers
Information Systems Frontiers 工程技术-计算机:理论方法
CiteScore
13.30
自引率
18.60%
发文量
127
审稿时长
9 months
期刊介绍: The interdisciplinary interfaces of Information Systems (IS) are fast emerging as defining areas of research and development in IS. These developments are largely due to the transformation of Information Technology (IT) towards networked worlds and its effects on global communications and economies. While these developments are shaping the way information is used in all forms of human enterprise, they are also setting the tone and pace of information systems of the future. The major advances in IT such as client/server systems, the Internet and the desktop/multimedia computing revolution, for example, have led to numerous important vistas of research and development with considerable practical impact and academic significance. While the industry seeks to develop high performance IS/IT solutions to a variety of contemporary information support needs, academia looks to extend the reach of IS technology into new application domains. Information Systems Frontiers (ISF) aims to provide a common forum of dissemination of frontline industrial developments of substantial academic value and pioneering academic research of significant practical impact.
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