人工智能与管理变革

doi:10.16381/j.cnki.issn1003-207x.2023.06.001

摘要/Abstract

摘要： 深度学习问世以来，人工智能的发展突飞猛进，逐步从纯粹的学术研究向大规模应用迈进。特别是2022年，文本生成、图像生成、三维模型生成等一系列应用级人工智能内容生成算法问世，标志着人工智能初步具备了数字化内容生产的能力，并正在突破逻辑推理、常识认知等诸多门槛，逐步迈向通用人工智能。本文在回顾人工智能发展历程和最新发展趋势的基础上，着重探讨人工智能技术的发展对自然科学和社会科学研究范式的影响，分析人工智能技术本身及其与领域科学融合的发展规律，最后剖析了人工智能为管理领域带来的变革性影响。

关键词: 人工智能, 内容生成, 科研范式, 管理变革, 发展规律

Abstract: Since the advent of deep learning, artificial intelligence has made tremendous progress, gradually moving from pure academic research to large-scale deployment. In particular, a series of application-level AI content generation algorithms such as text generation, image generation, and 3D model generation emerged in 2022, indicating that AI has first acquired the ability to produce digital content and is gradually breaking through many barriers, such as logical reasoning and common sense cognition, moving towards general AI. Based on a review of the development history and recent trends in AI, it focuses on exploring the impact of AI technology on the research paradigms of the natural and social sciences in this paper, analyzing the development laws of AI technology itself and its integration with domain-specific sciences. Finally, the transformative impact of AI on the management is analyzed.

Key words: Artificial Intelligence, content generation, scientific research paradigm, management reform, development law

中图分类号:

TP18
C931

杨善林, 李霄剑, 张强, 焦建玲, 杨昌辉. 人工智能与管理变革[J]. 中国管理科学, 2023, 31(6): 1-11.

YANG Shan-lin, LI Xiao-jian, ZHANG Qiang, JIAO Jian-ling, YANG Chang-hui. Artificial Intelligence and Management Transformation[J]. Chinese Journal of Management Science, 2023, 31(6): 1-11.

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