{"title":"新兴领导者还是持续存在的差距?生成式人工智能研究可促进女性在 STEM 领域的发展","authors":"Prema Nedungadi , Maneesha Ramesh , Venu Govindaraju , Bhavani Rao , Paola Berbeglia , Raghu Raman","doi":"10.1016/j.ijinfomgt.2024.102785","DOIUrl":null,"url":null,"abstract":"<div><p>The primary aim of this study is to explore the gender dynamics within Generative AI (GAI) research through an analysis of 5092 publications post the inception of ChatGPT in November 2022. This investigation seeks to comprehend how gender distribution varies across different research areas and geographical locations in GAI, assess thematic differences in contributions by male and female authors, identify areas of significant female activity, evaluate the impact of policies on gender dynamics, devise strategies to enhance gender diversity and explore how GAI research can propel women's advancement in STEM. 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引用次数: 0
摘要
本研究的主要目的是通过分析 ChatGPT 于 2022 年 11 月成立后发表的 5092 篇论文,探索生成式人工智能(GAI)研究中的性别动态。这项调查旨在了解性别分布在 GAI 不同研究领域和地理位置中的差异,评估男女作者贡献的主题差异,确定女性活跃的重要领域,评估政策对性别动态的影响,制定战略以加强性别多样性,并探索 GAI 研究如何推动女性在 STEM 中的进步。这项研究揭示了一个双重叙事:在高引用率的 GAI 研究论文中,女性领导力有了可喜的提升,而在单篇论文和主要作者位置上,性别差异却一直存在。这些研究结果强调了 GAI 有别于传统 STEM 领域的独特地位,因为它将技术与社会需求相结合,并通过其跨学科方法和社会影响,具有促进更多女性参与 STEM 的潜力。通过与可持续发展目标 5 保持一致,本研究倡导包容性发展实践和政策改革,目的是在 GAI 研究中加强性别多样性和包容性。从解决研究问题中得出的见解表明,GAI 如何能够使科学、技术、工程和数学领域更具包容性、更加多样化、更加符合社会需求,从而最大限度地发挥女性研究人员的贡献价值。
Emerging leaders or persistent gaps? Generative AI research may foster women in STEM
The primary aim of this study is to explore the gender dynamics within Generative AI (GAI) research through an analysis of 5092 publications post the inception of ChatGPT in November 2022. This investigation seeks to comprehend how gender distribution varies across different research areas and geographical locations in GAI, assess thematic differences in contributions by male and female authors, identify areas of significant female activity, evaluate the impact of policies on gender dynamics, devise strategies to enhance gender diversity and explore how GAI research can propel women's advancement in STEM. The study reveals a dual narrative: a promising rise in female leadership within highly cited GAI research papers, juxtaposed with ongoing gender disparities in single-authored works and primary authorship positions. These findings underscore the unique position of GAI as distinct from traditional STEM fields, owing to its integration of technology with societal demands and its potential to foster increased female participation in STEM through its interdisciplinary approach and societal impact. By aligning with Sustainable Development Goal 5, this research champions inclusive development practices and policy reforms aimed at bolstering gender diversity and inclusivity within GAI research. The insights derived from addressing the research questions show how GAI can make STEM fields more inclusive, diverse, and attuned to societal needs, thereby maximizing the value of female researchers' contributions.
期刊介绍:
The International Journal of Information Management (IJIM) is a distinguished, international, and peer-reviewed journal dedicated to providing its readers with top-notch analysis and discussions within the evolving field of information management. Key features of the journal include:
Comprehensive Coverage:
IJIM keeps readers informed with major papers, reports, and reviews.
Topical Relevance:
The journal remains current and relevant through Viewpoint articles and regular features like Research Notes, Case Studies, and a Reviews section, ensuring readers are updated on contemporary issues.
Focus on Quality:
IJIM prioritizes high-quality papers that address contemporary issues in information management.