AI, copyright, and business: navigating global legal challenges in the era of generative content and digital replicas
Maria Kalyvaki, Kyle Nash, Heather McIntosh
Minnesota State University, Mankato Cleveland State University
阅读操作
确认中在文库中上传 PDF 后可生成中文音频讲解。
摘要与影响
Artificial intelligence (AI) is revolutionizing content creation, raising significant questions about copyright, authorship, and intellectual property. The integration of AI into creative industries brings both opportunities and risks, as companies need to balance innovation with legal compliance. The advent of technologies like DALL-E, Stable Diffusion, and Midjourney has sparked legal debates over the ownership and control of AI-generated content. Traditional copyright laws, designed for human creators, struggle to address these emerging challenges. This paper examines the legal ambiguities surrounding AI-generated works, including whether machines can be considered creators or if ownership should lie with the developers or users directing them. It also explores potential copyright reforms that could resolve these issues and considers how businesses must adapt to comply with evolving intellectual property regulations. By analyzing key legal precedents and global responses, this paper presents a comprehensive framework for addressing the legal and business challenges posed by AI-generated content.
逐年被引趋势
关键指标
同类平均 = 1
同领域 · 同年份 · 同类型
Google Scholar 与 OpenAlex 的被引统计范围不同,数值存在差异属正常。
AI 辅助阅读
依据:摘要
可就本文提问;依据不足时会说明。
学术脉络
学科主题
计算机 / AILaw, AI, and Intellectual Property
Copyright and Intellectual Property · Digital and Traditional Archives Management
参考文献 20
此处列出前 3 条
引用本文 3
按被引量排序,此处列出前 3 条