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Title: An Evaluate the Legal Gaps Regarding the Artificial Intelligence and Copyright Infringement in the Context of Pakistan
Authors: Abdul Salam Soomro, Muhammad Zakir Shah, Muhammad Hassan Sajjad, Sadia Fatima
Journal: Indus Journal of Social Sciences (IJSS)
| Category | From | To |
|---|---|---|
| Y | 2024-10-01 | 2025-12-31 |
Publisher: Indus Education and Research Network
Country: Pakistan
Year: 2024
Volume: 2
Issue: 2
Language: English
Keywords: Artificial IntelligenceCopyright InfringementIntellectual PropertyLegal GapsPakistanDoctrinal ResearchAI Regulation
This study evaluated the legal gaps which are addressing artificial intelligence (AI) and copyright infringement in the domain of legal frameworks in Pakistan. The purpose was to examine whether existing copyright laws adequately protect against unauthorized use of creative works generated or exploited by AI technologies. The study analyzed Pakistan’s Copyright Ordinance, 1962, relevant judicial precedents, and international instruments such as the Berne Convention and TRIPS Agreement to assess their applicability to AI-related copyright challenges through the Employed doctrinal legal research methodology. The findings revealed significant gaps, including the absence of provisions addressing ownership of AI-generated works, liability for infringement involving AI systems and mechanisms to safeguard copyright holders against unauthorized AI use. The results underscored the need for legislative reforms to align Pakistan’s copyright laws with emerging AI technologies, ensuring adequate protection for creators while fostering innovation. The study recommended the introduction of specific provisions to regulate AI-generated content, determine ownership, and establish liability frameworks to bridge these legal gaps.
To evaluate the legal gaps in Pakistan's existing copyright framework concerning artificial intelligence (AI) and copyright infringement, and to assess the adequacy of current laws in protecting creative works generated or exploited by AI technologies.
Doctrinal legal research methodology, involving the compilation and analysis of statutes (Pakistan's Copyright Ordinance, 1962), relevant judicial precedents, and international instruments (Berne Convention, TRIPS Agreement). The study also involved a comparative analysis of copyright laws in the United States, the European Union, and China.
graph TD;
A["Identify Research Problem: Legal Gaps in Pakistan's AI Copyright Law"] --> B["Conduct Doctrinal Legal Research"];
B --> C["Analyze Pakistan's Copyright Ordinance, 1962"];
B --> D["Analyze Relevant Case Law"];
B --> E["Research International Instruments"];
B --> F["Conduct Comparative Analysis"US, EU, China""];
C & D & E & F --> G["Identify Specific Legal Gaps"];
G --> H["Formulate Findings and Discussion"];
H --> I["Develop Recommendations"];
I --> J["Draw Conclusions"];
The study argues that Pakistan's Copyright Ordinance, 1962, predates modern AI technologies and fails to address the complexities of AI-generated content. Traditional copyright principles of originality and authorship, which presuppose human creativity, are challenged by AI's autonomous creation capabilities. International approaches, while varied, highlight the need for legislative reform to accommodate AI in copyright law.
Significant legal gaps exist in Pakistan's copyright regime regarding AI. These include the absence of provisions for the ownership of AI-generated works, unclear liability for infringement involving AI systems, and inadequate mechanisms to safeguard copyright holders against unauthorized AI use.
Immediate legislative reforms are necessary in Pakistan to align its copyright laws with the advancements in AI technology. This includes introducing specific provisions for AI-generated content, defining ownership and authorship, and establishing robust enforcement mechanisms to protect intellectual property rights in the digital age.
1. Pakistan's primary copyright law is the Copyright Ordinance, 1962. (Confirmed by text)
2. The United States has maintained a requirement of human authorship for copyright protection, as seen in the case Thaler v. Perlmutter (2023). (Confirmed by text)
3. China has shown a more flexible approach, with courts considering AI-created works for copyright protection on an individual basis. (Confirmed by text)
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