对比四国AI与知识产权政策，指出印度法律滞后并提出改革方案。
Artificial Intelligence and Intellectual Property Rights: Comparative Transnational Policy Analysis
- 通过比较法分析印美英欧立法司法，识别AI生成成果保护漏洞。
- 印度专利法第3(k)条禁止AI发明获专利，版权作者认定标准混乱。
- 建议建立统一法律框架，助力创新激励与国际接轨。
人工智能快速融入知识产权领域，亟需评估其对商业秘密、著作权和专利的影响。本研究揭示印度现行法律缺乏针对人工智能的专门规定，导致法律体系矛盾且执行不力。全球范围内关于AI与知识产权保护的讨论仍处于初级阶段。研究发现印度知识产权法律在适应AI生成成果方面存在明显不足：商业秘密保护难以应对AI威胁；缺乏统一的发明人认定标准。采用判例法与比较法，分析印度、美国、英国和欧盟的立法文本、司法判例与政策文件。初步结果表明：印度合同法导致商业秘密制度碎片化；印度专利法第3(k)条禁止人工智能发明申请专利；著作权中的作者归属标准不一致。研究提出应建立协调一致的法律分类体系，以合理定位AI角色并维持创新激励。印度2024年国家人工智能战略虽有进展，但立法清晰性仍至关重要。该研究为全球对话提供支持，推动建立具有韧性与公平性的AI专项知识产权保护机制。初步成果凸显重构印度知识产权司法体系以实现全球协调的必要性。
原文摘要 · Abstract (English)
Artificial intelligence's rapid integration with intellectual property rights necessitates assessment of its impact on trade secrets, copyrights and patents. This study addresses lacunae in existing laws where India lacks AI-specific provisions, creating doctrinal inconsistencies and enforcement inefficacies. Global discourse on AI-IPR protections remains nascent. The research identifies gaps in Indian IP laws' adaptability to AI-generated outputs: trade secret protection is inadequate against AI threats; standardized inventorship criteria are absent. Employing doctrinal and comparative methodology, it scrutinizes legislative texts, judicial precedents and policy instruments across India, US, UK and EU. Preliminary findings reveal shortcomings: India's contract law creates fragmented trade secret regime; Section 3(k) of Indian Patents Act blocks AI invention patenting; copyright varies in authorship attribution. The study proposes harmonized legal taxonomy accommodating AI's role while preserving innovation incentives. India's National AI Strategy (2024) shows progress but legislative clarity is imperative. This contributes to global discourse with AI-specific IP protections ensuring resilience and equitable innovation. Promising results underscore recalibrating India's IP jurisprudence for global alignment.
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