ChatGPT: A Case Study on Copyright Challenges for Generative Artificial Intelligence Systems

IF 1.8 Q1 LAW
N. Lucchi
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引用次数: 2

Abstract

This article focuses on copyright issues pertaining to generative artificial intelligence (AI) systems, with particular emphasis on the ChatGPT case study as a primary exemplar. In order to generate high-quality outcomes, generative AI systems require substantial quantities of training data, which may frequently comprise copyright-protected information. This prompts inquiries into the legal principles of fair use, the creation of derivative works and the lawfulness of data gathering and utilisation. The utilisation of input data for the purpose of training and enhancing AI models presents significant concerns regarding potential violations of copyright. This paper offers suggestions for safeguarding the interests of copyright holders and competitors, while simultaneously addressing legal challenges and expediting the advancement of AI technologies. This study analyses the ChatGPT platform as a case example to explore the necessary modifications that copyright regulations must undergo to adequately tackle the intricacies of authorship and ownership in the realm of AI-generated creative content.
ChatGPT:生成式人工智能系统的版权挑战案例研究
本文主要关注与生成式人工智能(AI)系统相关的版权问题,特别强调ChatGPT案例研究作为主要范例。为了产生高质量的结果,生成式人工智能系统需要大量的训练数据,这些数据通常包含受版权保护的信息。这促使人们对合理使用的法律原则、衍生作品的创作以及数据收集和利用的合法性进行了探讨。为了训练和增强人工智能模型而使用输入数据引起了对潜在侵犯版权的重大关注。本文提出了维护版权所有者和竞争对手利益的建议,同时应对法律挑战并加快人工智能技术的进步。本研究以ChatGPT平台为例,探讨版权法规必须进行的必要修改,以充分解决人工智能生成的创意内容领域的作者身份和所有权的复杂性。
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
CiteScore
6.10
自引率
0.00%
发文量
34
期刊介绍: European Journal of Risk Regulation is an interdisciplinary forum bringing together legal practitioners, academics, risk analysts and policymakers in a dialogue on how risks to individuals’ health, safety and the environment are regulated across policy domains globally. The journal’s wide scope encourages exploration of public health, safety and environmental aspects of pharmaceuticals, food and other consumer products alongside a wider interpretation of risk, which includes financial regulation, technology-related risks, natural disasters and terrorism.
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