Copyright and generative AI
Bibliographic Data
| ID | 22189609 |
|---|---|
| Authors | Laila Barqawi (0000-0003-0435-2591, Al-Zaytoonah University of Jordan), Mohammad Abdallah (0000-0002-3643-0104, Al-Zaytoonah University of Jordan) |
| Year | 2024 |
| Volume | 8 |
| Issue | 8 |
| Pages | 6253 |
| Publication date | 2024-08-06 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Journal of Infrastructure Policy and Development (JOURNAL) |
| Journal identifiers | ISSN: 2572-7923 • E-ISSN: 2572-7931 |
| Publisher | EnPress Publisher (PUBLISHER) |
| DOI | 10.24294/jipd.v8i8.6253 |
| OpenAlex | W4401370635 |
| Language | EN |
| Citations received | 2 |
| References cited | 4 |
This research investigates the relationship between Generative Artificial Intelligence (GAI), media content, and copyright laws. As GAI technologies continue to evolve and permeate various aspects of the media landscape, questions regarding the creation and protection of intellectual property have become paramount. The study aims to highlight the impact of GAI generated content, and the challenge it poses to the traditional copyright framework. Furthermore, the research addresses the evolving role of copyright laws in adapting to the dynamic landscape shaped by artificial intelligence. It investigates whether existing legal frameworks are equipped to handle the complexities introduced by GAI, or if there is a need for legislative and policy reforms. Ultimately, this research contributes to the ongoing discourse on the intersection of GAI, media, and copyrights, providing insights that can guide policymakers, legal practitioners, and industry stakeholders in navigating the evolving landscape of intellectual property in the age of artificial intelligence
Generative grammar · Computer Science · Law, AI, and Intellectual Property · Artificial Intelligence
| Citations per year | 2 |
|---|---|
| Citation span | 2025 - 2025 (1) |
| Highly cited | No |