The Legislative Gap for Copyright in the Era of Generative AI: Where do We Stand in Achieving Sustainable Development Goals?

Objective: This study examines legislative gaps in copyright protection for AI-generated content, focusing on authorship, originality, and intellectual property rights. It evaluates current legal frameworks and proposes solutions to align them with sustainable development goals. Theoretical Framework: Grounded in copyright law principles, particularly the Berne Convention and regulations in the EU, China, and the U.S., the study analyzes how different jurisdictions handle AI-generated works. Methodology: Using analytical, comparative, and case study methods, the research assesses legal inconsistencies and real-world implications of AI-created content. Results and Discussion: AI enhances education and creative industries but raises ethical and legal concerns, especially in academic integrity and legal translations. Existing copyright laws lack clarity on AI-generated works, necessitating legal reforms to balance innovation and intellectual property protection. Research Implications: The study calls for revising copyright laws to define originality in AI works, mandate registration of AI-assisted content, and utilize blockchain for protection. It also suggests establishing a specialized IP court in the UAE and requiring insurance policies for AI firms. Originality/Value: By providing a comparative analysis and proposing concrete legal reforms, this research contributes to the ongoing discourse on AI and copyright, ensuring laws evolve with technological advancements.