Reclaiming authorship in the age of generative AI: From panic to possibility

IF 3.2 4区 计算机科学 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Ai Magazine Pub Date : 2025-08-26 DOI:10.1002/aaai.70022
Mohsen Askari
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引用次数: 0

Abstract

The advent of generative AI, particularly large language models like ChatGPT, has precipitated a seismic shift in academia. Far from a gradual evolution, its sudden emergence has jolted educational institutions, leaving many academics grappling with a perceived encroachment upon their intellectual domain. This upheaval has sparked intense debates, with concerns ranging from the erosion of academic integrity to the devaluation of scholarly labor. This essay contends that such apprehensions, while understandable, may overlook the transformative potential of AI as a collaborative tool. Drawing parallels to historical disruptions—such as the advent of photography challenging traditional art forms—we explore how AI can augment human creativity rather than supplant it. By examining the dynamics of authorship, originality, and accountability, we argue for a redefinition of these concepts in the context of AI-assisted work. Emphasizing the importance of human oversight in guiding AI outputs, we advocate for a framework that recognizes the symbiotic relationship between human intellect and machine efficiency. Such a perspective not only preserves the essence of academic rigor but also embraces the democratization of knowledge production. Ultimately, this essay calls for a balanced approach that mitigates risks while harnessing the innovative capacities of generative AI in academia.

在生成式人工智能时代重新获得作者身份:从恐慌到可能性
生成式人工智能的出现,尤其是像ChatGPT这样的大型语言模型,在学术界引发了巨大的变化。它的突然出现远非一个渐进的演变,它震动了教育机构,使许多学者在他们的知识领域受到侵犯的情况下挣扎。这种剧变引发了激烈的争论,从学术诚信的侵蚀到学术劳动的贬值,都引起了人们的关注。本文认为,这种担忧虽然可以理解,但可能忽视了人工智能作为协作工具的变革潜力。通过对比历史上的颠覆——比如摄影的出现对传统艺术形式的挑战——我们探索人工智能如何增强人类的创造力,而不是取代它。通过研究作者身份、原创性和问责制的动态,我们主张在人工智能辅助工作的背景下重新定义这些概念。强调人类监督在指导人工智能输出中的重要性,我们提倡建立一个框架,承认人类智能和机器效率之间的共生关系。这种观点既保留了学术严谨的本质,又拥抱了知识生产的民主化。最后,本文呼吁采取一种平衡的方法,在利用学术界生成式人工智能的创新能力的同时降低风险。
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
Ai Magazine
Ai Magazine 工程技术-计算机:人工智能
CiteScore
3.90
自引率
11.10%
发文量
61
审稿时长
>12 weeks
期刊介绍: AI Magazine publishes original articles that are reasonably self-contained and aimed at a broad spectrum of the AI community. Technical content should be kept to a minimum. In general, the magazine does not publish articles that have been published elsewhere in whole or in part. The magazine welcomes the contribution of articles on the theory and practice of AI as well as general survey articles, tutorial articles on timely topics, conference or symposia or workshop reports, and timely columns on topics of interest to AI scientists.
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