Research on the Conflict and Adjustment between Digital Copyright Protection and Information Sharing in the Era of Artificial Intelligence

Abstract

Against the backdrop of artificial intelligence profoundly reshaping the production and dissemination of digital content, the conflict between digital copyright protection and information sharing has become a core issue in the governance of the digital economy. This study analyzes the legal and practical roots of the conflict between the two, and proposes a collaborative adjustment path. The research finds that the "anthropocentric" logic of traditional copyright systems and the "depersonalized" characteristics of AI-generated content have a structural contradiction, and issues such as the rights ownership of generated content and the determination of infringement liability for algorithmic dissemination have become institutional dilemmas; although information sharing is based on public interest and innovation as its legitimacy foundation, the application of technologies such as deep fakes and data scraping has triggered new ethical risks. The conflict is specifically manifested in the disconnection between legal texts and technological practices, the trade-off between protection measures and sharing efficiency, and the ethical balance between individual rights and public welfare. Based on this, a three-dimensional collaborative adjustment mechanism of institutions, technologies, and governance is proposed to facilitate the sustainable development of the digital content industry.