Generative artificial intelligence usage by researchers at work: Effects of gender, career stage, type of workplace, and perceived barriers

IF 7.6 2区 管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE
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Abstract

The integration of generative artificial intelligence technology into research environments has become increasingly common in recent years, representing a significant shift in the way researchers approach their work. This paper seeks to explore the factors underlying the frequency of use of generative AI amongst researchers in their professional environments. As survey data may be influenced by a bias towards scientists interested in AI, potentially skewing the results towards the perspectives of these researchers, this study uses a regression model to isolate the impact of specific factors such as gender, career stage, type of workplace, and perceived barriers to using AI technology on the frequency of use of generative AI. It also controls for other relevant variables such as direct involvement in AI research or development, collaboration with AI companies, geographic location, and scientific discipline. Our results show that researchers who face barriers to AI adoption experience an 11 % increase in tool use, while those who cite insufficient training resources experience an 8 % decrease. Female researchers experience a 7 % decrease in AI tool usage compared to men, while advanced career researchers experience a significant 19 % decrease. Researchers associated with government advisory groups are 45 % more likely to use AI tools frequently than those in government roles. Researchers in for-profit companies show an increase of 19 %, while those in medical research institutions and hospitals show an increase of 16 % and 15 %, respectively. This paper contributes to a deeper understanding of the mechanisms driving the use of generative AI tools amongst researchers, with valuable implications for both academia and industry.

研究人员在工作中使用生成式人工智能:性别、职业阶段、工作场所类型和感知障碍的影响
近年来,将生成式人工智能技术融入研究环境已变得越来越普遍,代表着研究人员工作方式的重大转变。本文旨在探讨研究人员在其专业环境中频繁使用生成式人工智能的根本原因。由于调查数据可能会受到对人工智能感兴趣的科学家的偏见的影响,可能会使结果偏向于这些研究人员的观点,因此本研究使用回归模型来分离特定因素对生成式人工智能使用频率的影响,如性别、职业阶段、工作场所类型和使用人工智能技术的感知障碍。该模型还控制了其他相关变量,如直接参与人工智能研究或开发、与人工智能公司合作、地理位置和科学学科。我们的研究结果表明,面临人工智能应用障碍的研究人员对工具的使用增加了 11%,而培训资源不足的研究人员对工具的使用减少了 8%。与男性相比,女性研究人员在使用人工智能工具方面减少了 7%,而高级职业研究人员则大幅减少了 19%。与政府咨询团体有联系的研究人员比政府部门的研究人员更有可能频繁使用人工智能工具,比例高出 45%。营利性公司的研究人员增加了 19%,而医学研究机构和医院的研究人员分别增加了 16% 和 15%。本文有助于深入了解研究人员使用生成式人工智能工具的驱动机制,对学术界和产业界都具有重要意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Telematics and Informatics
Telematics and Informatics INFORMATION SCIENCE & LIBRARY SCIENCE-
CiteScore
17.00
自引率
4.70%
发文量
104
审稿时长
24 days
期刊介绍: Telematics and Informatics is an interdisciplinary journal that publishes cutting-edge theoretical and methodological research exploring the social, economic, geographic, political, and cultural impacts of digital technologies. It covers various application areas, such as smart cities, sensors, information fusion, digital society, IoT, cyber-physical technologies, privacy, knowledge management, distributed work, emergency response, mobile communications, health informatics, social media's psychosocial effects, ICT for sustainable development, blockchain, e-commerce, and e-government.
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