{"title":"Balancing Innovation and Regulation in the Age of Generative Artificial Intelligence","authors":"Y. Wu, Xukang Wang","doi":"10.5325/jinfopoli.14.2024.0012","DOIUrl":null,"url":null,"abstract":"\n 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.","PeriodicalId":55617,"journal":{"name":"Journal of Information Policy","volume":null,"pages":null},"PeriodicalIF":1.0000,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Information Policy","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5325/jinfopoli.14.2024.0012","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMMUNICATION","Score":null,"Total":0}
引用次数: 0
Abstract
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.