在新一代人工智能时代平衡创新与监管

IF 1 Q3 COMMUNICATION Journal of Information Policy Pub Date : 2024-07-01 DOI:10.5325/jinfopoli.14.2024.0012
Y. Wu, Xukang Wang
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引用次数: 0

摘要

以 ChatGPT 等模型为代表的生成式人工智能(AI)的出现既带来了机遇,也带来了挑战。随着这些技术越来越多地融入社会的各个方面,建立一个统一的法律框架来应对相关风险变得至关重要。本文全面分析了生成式人工智能的颠覆性影响、人工智能生成内容的法律风险以及在创新与监管之间取得平衡所需的治理策略。该研究采用文献综述、理论法律分析和案例研究整合三管齐下的方法,考察了当前的法律状况;综合了有关生成式人工智能的技术、伦理和社会经济影响的学术著作;并通过现实世界的案例研究说明了实际挑战。文章评估了美国人工智能治理战略的优势和局限性,并提出了一个强调国际合作、积极立法和建立专门监管机构的统一法律框架。通过让不同的利益相关者参与进来,并找出当前研究中的关键差距,本研究有助于制定一个法律框架,以维护伦理原则、保护个人权利,并在生成型人工智能时代促进负责任的创新。
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Balancing Innovation and Regulation in the Age of Generative Artificial Intelligence
The emergence of generative artificial intelligence (AI), exemplified by models like ChatGPT, presents both opportunities and challenges. As these technologies become increasingly integrated into various aspects of society, the need for a harmonized legal framework to address the associated risks becomes crucial. This article presents a comprehensive analysis of the disruptive impact of generative AI, the legal risks of AI-generated content, and the governance strategies needed to strike a balance between innovation and regulation. Employing a three-pronged methodology—literature review, doctrinal legal analysis, and case study integration—the study examines the current legal landscape; synthesizes scholarly works on the technological, ethical, and socioeconomic implications of generative AI; and illustrates practical challenges through real-world case studies. The article assesses the strengths and limitations of US governance strategies for AI and proposes a harmonized legal framework emphasizing international collaboration, proactive legislation, and the establishment of a dedicated regulatory body. By engaging diverse stakeholders and identifying critical gaps in current research, the study contributes to the development of a legal framework that upholds ethical principles, protects individual rights, and fosters responsible innovation in the age of generative AI.
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来源期刊
CiteScore
1.80
自引率
0.00%
发文量
7
审稿时长
8 weeks
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