“More than Words”: A Legal Approach to the Risks of Commercial Chatbots Powered by Generative Artificial Intelligence

IF 1.8 Q1 LAW
Sara Migliorini
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引用次数: 0

Abstract

The recent commercial release of a new generation of chatbot systems, particularly those leveraging Transformer-based large language models (LLMs) such as ChatGPT, has caught the world by surprise and sparked debate about their potential consequences for society. While concerns about the existential threat posed by these technologies are often discussed, it is crucial to shift our focus towards the more immediate risks associated with their deployment. Such risks are further compounded by the lack of proactive measures addressing users’ literacy and the for-profit model via which these chatbots are distributed. Drawing on research in computer science and other fields, this paper looks at the immediate risks triggered by these products and reflects on the role of law within a broader policy directed at steering generative artificial intelligence technology towards the common good. It also reviews the relevant amendments proposed by the European Parliament to the European Commission’s proposal for an AI Act.
"不只是语言从法律角度看人工智能商业聊天机器人的风险
最近,新一代聊天机器人系统,尤其是那些利用基于 Transformer 的大型语言模型(LLMs)(如 ChatGPT)的聊天机器人系统的商业发布,令全世界大吃一惊,并引发了关于其对社会的潜在影响的讨论。虽然人们经常讨论对这些技术所带来的生存威胁的担忧,但我们必须将注意力转移到与部署这些技术相关的更为直接的风险上。由于缺乏解决用户扫盲问题的积极措施,以及这些聊天机器人的盈利模式,这些风险变得更加复杂。本文以计算机科学和其他领域的研究为基础,探讨了这些产品引发的直接风险,并反思了法律在更广泛的政策中的作用,该政策旨在引导生成式人工智能技术实现共同利益。本文还回顾了欧洲议会针对欧盟委员会人工智能法案提案提出的相关修正案。
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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