Intellectual Property

The article's alternative economic theory of trade secret law, which focuses on dissuading possessors of secret ideas from using inefficient self-help countermeasures, offers a nuanced understanding of the jurisdiction's approach to intellectual property protection. In contrast to the US, where the incentive-to-invent theory has historically shaped trade secret law, Korea's approach emphasizes the protection of confidential information, reflecting a stronger emphasis on business secrecy. Internationally, the European Union's Trade Secrets Directive (2016) adopts a more balanced approach, requiring a finding of "unlawful acquisition" of trade secrets, which aligns with the anti-countermeasure principle proposed in the article. This shift in perspective has significant implications for intellectual property practice. By recognizing the anti-countermeasure principle as a primary economic purpose of trade secret law, practitioners can better advise clients on the strategic use of trade secret protection and the risks associated with self-help measures. Moreover, this approach may lead to a more nuanced understanding of trade secret misappropriation, potentially reducing the need for "improper" conduct findings and promoting a more efficient resolution of trade secret disputes. The article's analysis also highlights the need for a more comprehensive understanding of trade secret law, moving beyond the traditional incentive-to-invent theory. This shift may have far-reaching consequences for the development of trade secret law, particularly in jurisdictions like Korea, where business secrecy is highly valued. As the article's author suggests, the anti-countermeasure principle offers a more coherent and comprehensive theory of trade secret

The article challenges the conventional incentive-to-invent theory of trade secret law by proposing an anti-countermeasure principle as the primary economic driver. Practitioners should consider this shift in framing, as it explains doctrinal features like the requirement to preserve secrecy post-creation and the focus on "improper" conduct in misappropriation cases. This perspective aligns with statutory and regulatory frameworks emphasizing protection against misuse of confidential information, echoing principles akin to those in cases like *E.I. du Pont de Nemours & Co. v. Christopher*, which underscore the importance of safeguarding trade secrets beyond mere invention incentives.

Jurisdictional Comparison and Analytical Commentary: The study's findings on AI-generated works and copyright protection in Indonesia are reflective of the ongoing debates in the US and Korea regarding the applicability of intellectual property laws to AI-generated content. In the US, the Copyright Office has taken a cautious approach, stating that AI-generated works may be eligible for copyright protection if they meet the statutory requirements, but acknowledging the need for further guidance. In contrast, Korea has taken a more permissive stance, recognizing the creative potential of AI and allowing for the registration of AI-generated works under certain conditions. Internationally, the Berne Convention for the Protection of Literary and Artistic Works (1886) and the Agreement on Trade-Related Aspects of Intellectual Property Rights (TRIPS) (1994) provide a framework for copyright protection, but do not specifically address AI-generated works. As a result, countries are left to interpret and apply existing laws to the changing landscape of AI-generated content, leading to varying approaches and challenges in determining creators and copyright holders, redefining originality, and addressing issues related to database and patent protection. Implications Analysis: The study's findings and the jurisdictional comparisons highlight the need for a nuanced and adaptive approach to intellectual property laws in the context of AI. As AI-generated works become increasingly prevalent, it is essential to reexamine the concept of originality, consider the role of human creators and AI systems, and address the challenges related to copyright infringement, moral and personality rights

As a Patent Prosecution & Infringement Expert, I'll provide domain-specific expert analysis of the article's implications for practitioners. The article highlights the challenges faced by copyright law in Indonesia in the context of AI-generated works, specifically with regards to originality standards and determining creators and copyright holders. The study's findings are based on Law No. 28 of 2014, which governs copyright in Indonesia, and suggest that AI-generated works do not meet the originality standards required for copyright protection. However, users of AI-generated works are still bound by the terms and conditions set by the AI platform, which can limit their rights to the work. From a patent perspective, this article has implications for the concept of "inventorship" and the determination of creators and patent holders. In the United States, the Patent Act of 1952 (35 U.S.C. § 101) defines an "inventor" as the person who conceives the idea of the invention, but the article highlights the challenges of determining creators and copyright holders in the context of AI-generated works. This raises questions about who should be considered the "inventor" or "creator" of AI-generated works, and whether AI systems can be considered "inventors" or "creators" for patent and copyright purposes. Regulatory connections include the Indonesian Law No. 28 of 2014, which governs copyright in Indonesia, and the United States Patent Act of 1952