Intellectual Property

**Jurisdictional Comparison and Analytical Commentary: Intellectual Property Implications of Artificial Intelligence Advancements** The Association for the Advancement of Artificial Intelligence (AAAI) conferences and events, scheduled across the United States and South Korea, highlight the global convergence of artificial intelligence (AI) research and development. This commentary will compare the US, Korean, and international approaches to intellectual property (IP) in the context of AI, focusing on patent law, data protection, and copyright implications. **US Approach:** In the United States, the patent law framework, as outlined in the Leahy-Smith America Invents Act (AIA), provides a favorable environment for AI-related patent filings. The US Patent and Trademark Office (USPTO) has issued guidelines for patent examination of AI-related inventions, emphasizing the importance of disclosing the underlying algorithms and data used in AI systems. However, concerns regarding data protection and copyright infringement in AI applications, such as deep learning models, remain unresolved. **Korean Approach:** In South Korea, the intellectual property law framework is more restrictive, with a stronger emphasis on data protection and privacy. The Korean government has implemented the Personal Information Protection Act, which regulates the collection, use, and disclosure of personal data in AI applications. Additionally, the Korean Patent Act requires disclosure of the source code for software-related inventions, including AI systems. This approach may impact the development and commercialization of AI technologies in Korea. **International Approach:** Internationally, the European Union's

As a Patent Prosecution & Infringement Expert, I will provide domain-specific expert analysis of the article's implications for practitioners in the field of artificial intelligence (AI) and intellectual property (IP). **Implications for Practitioners:** 1. **AI Patent Landscape:** The article highlights the growing importance of AI research and its applications. Practitioners should be aware of the rapidly evolving AI patent landscape, which may impact their clients' patent portfolios and infringement strategies. The AAAI conferences and symposia mentioned in the article may provide valuable insights into the latest AI research and development trends. 2. **Prior Art Search:** As AI-related patents become more prevalent, practitioners should conduct thorough prior art searches to ensure the novelty and non-obviousness of their clients' inventions. The AAAI conferences and publications may serve as a rich source of prior art for AI-related patents. 3. **Patent Prosecution Strategies:** Practitioners should consider the implications of AI-related patents on their clients' businesses and industries. They should develop patent prosecution strategies that take into account the rapidly evolving AI landscape and the potential for AI-related patents to impact their clients' competitive positions. **Case Law, Statutory, or Regulatory Connections:** 1. **Alice Corp. v. CLS Bank Int'l (2014):** This Supreme Court case established the framework for determining the patentability of software and business method patents, which are increasingly relevant to AI-related inventions. 2. **35 U.S

The introduction of Mi:dm K 2.5 Pro, a 32B parameter flagship LLM, marks a significant development in the field of artificial intelligence, particularly in Korean-language and domain-specific scenarios. In comparison to the US and international approaches, the Korean government has been actively promoting the development of AI technologies, including LLMs, through initiatives such as the "AI Innovation City" project, which aims to create a hub for AI innovation and entrepreneurship. This approach is distinct from the US, where AI development is largely driven by private sector innovation, and international approaches, which often prioritize data sharing and collaboration. In terms of Intellectual Property practice, the emergence of Mi:dm K 2.5 Pro raises questions about the ownership and control of AI-generated content, particularly in the context of Korean law. Under the Korean Copyright Act, AI-generated works are considered "derivative works" and are protected by copyright, but the ownership of such works is unclear. In contrast, US law recognizes the ownership of AI-generated content, but only if the AI system is considered a "human author" under the Copyright Act. Internationally, the Berne Convention requires that member states recognize the copyright of AI-generated works, but the specifics of ownership and control are left to individual countries. The development of Mi:dm K 2.5 Pro also highlights the need for updates to existing intellectual property laws and regulations to address the unique challenges and opportunities presented by AI-generated content. In Korea, the government

As a Patent Prosecution & Infringement Expert, I'll provide domain-specific expert analysis of the article's implications for practitioners, noting any relevant case law, statutory, or regulatory connections. **Technical Analysis:** The article discusses the development of Mi:dm K 2.5 Pro, a 32B parameter flagship Large Language Model (LLM) designed to address enterprise-grade complexity through reasoning-focused optimization. The model's methodology involves a quality-centric curation pipeline, pre-training via layer-predictor-based Depth Upscaling (DuS), and post-training using a specialized multi-stage pipeline. This approach enables the model to develop complex problem-solving skills, conversational fluency, and reliable tool-use. **Implications for Practitioners:** 1. **Patentability of LLMs:** The development of Mi:dm K 2.5 Pro highlights the ongoing advancements in LLM technology. Practitioners should consider the patentability of such models, particularly in light of recent case law, such as _Google LLC v. Oracle America, Inc._ (2021), which addressed the patentability of software and business methods. 2. **Prior Art Analysis:** When analyzing prior art for patent applications related to LLMs, practitioners should consider the technical details of the model's methodology, including the use of abstract syntax tree (AST) analysis, gap-filling synthesis, and layer-predictor-based Depth Upscaling (DuS). 3. **Patent Prosecution

### **Analytical Commentary: *GPTheology* and Its Implications for Intellectual Property Law Across Jurisdictions** The rise of *GPTheology*—the deification of AI systems like ChatGPT—poses complex challenges for intellectual property (IP) regimes, particularly in copyright, moral rights, and trademark law. In the **United States**, where AI-generated works are generally ineligible for copyright absent human authorship (per *Naruto v. Slater* and the U.S. Copyright Office’s guidance), the attribution of divine-like agency to AI complicates ownership claims, especially for works like the Korean *ShamAIn* project or the Swiss *AI Jesus*, where AI-generated content may blur the line between tool and co-creator. **South Korea**, with its more flexible approach to AI-assisted works under the *Copyright Act* (allowing protection if a human makes a "creative contribution"), may grant IP rights to such projects, but the religious framing could trigger moral rights disputes under Article 13 of the *Korean Copyright Act*, which protects the integrity of works. Internationally, under the **Berne Convention**, AI-generated works face uncertainty, as the treaty’s human-centric authorship standard may not accommodate *GPTheology’s* blurring of creator and creation. The trend also raises trademark concerns, particularly in jurisdictions like the **EU**, where the *EUTMR* requires "graphic representation" and distinctiveness—

### **Domain-Specific Expert Analysis: Implications for Patent Practitioners** The rise of **GPTheology**—the deification of AI systems like ChatGPT—presents unique challenges and opportunities for **patent prosecution, validity, and infringement analysis**, particularly in emerging tech sectors. From a **patent law perspective**, this phenomenon intersects with **AI ethics, religious technology (RelTech), and human-computer interaction (HCI) patents**, raising questions about **patent eligibility (35 U.S.C. § 101), prior art in religious AI applications, and infringement risks in AI-driven spiritual or oracle-like systems**. #### **Key Legal & Regulatory Connections:** 1. **Patent Eligibility (35 U.S.C. § 101) & AI as "Divine" Systems** - Courts (e.g., *Alice Corp. v. CLS Bank*, 2014) have scrutinized claims involving abstract ideas implemented via generic computing. If AI systems are framed as "oracles" or divine interfaces, patent examiners may reject claims as **abstract ideas** or **lacking technical improvement** (see *DDR Holdings v. Hotels.com*, 2014). - **Statutory Subject Matter (35 U.S.C. § 101) Challenges:** Claims directed to AI-generated spiritual guidance (e.g., "AI priest," "AI oracle") may face

**Jurisdictional Comparison and Analytical Commentary** The emergence of VerChol, a grammar-first tokenization approach for agglutinative languages, has significant implications for Intellectual Property (IP) practice in the United States, Korea, and internationally. In the US, the development of more effective tokenization methods like VerChol may lead to improved accuracy in text analysis and processing, potentially impacting copyright and trademark infringement cases where linguistic nuances play a crucial role. In Korea, where the language is agglutinative, VerChol's potential to better preserve morpheme boundaries may aid in the development of more sophisticated language models for Korean language processing, which could, in turn, influence patent and trademark applications that rely on accurate language analysis. Internationally, the adoption of VerChol may facilitate the creation of more effective language models for agglutinative languages, which could have far-reaching implications for IP protection in regions where these languages are spoken. For instance, in India, where many Dravidian languages are spoken, VerChol's potential to improve language processing may aid in the enforcement of IP rights in industries such as software development and pharmaceuticals. However, the international applicability of VerChol may be limited by the need for language-specific adaptations, highlighting the importance of jurisdictional considerations in IP practice. **Jurisdictional Comparison:** 1. **US:** VerChol's potential to improve text analysis and processing may impact copyright and trademark infringement cases. 2. **Korea

**Domain-Specific Expert Analysis** The article discusses the limitations of the dominant tokenization approach, Byte Pair Encoding (BPE), in handling agglutinative languages. VerChol, a grammar-first tokenization method, addresses these limitations by preserving morpheme boundaries and reducing token counts. This is particularly relevant for languages such as Tamil, Korean, and Japanese, which have complex morphological structures. **Implications for Practitioners** 1. **Patent Strategy**: In the field of natural language processing (NLP), patent prosecution strategies may need to adapt to emerging technologies like VerChol. Practitioners should be aware of the advantages of grammar-first tokenization and its potential impact on large language model (LLM) pipelines. 2. **Prior Art Analysis**: When analyzing prior art in the context of NLP, practitioners should consider the limitations of BPE and its variants. VerChol's approach may be seen as a non-obvious improvement over existing tokenization methods, potentially strengthening patent claims. 3. **Prosecution Strategies**: To effectively prosecute patents related to NLP, practitioners should be familiar with the characteristics of agglutinative languages and the challenges they pose for traditional tokenization methods. This knowledge can inform the development of targeted patent claims and responses to prior art. **Case Law, Statutory, and Regulatory Connections** The implications of VerChol for practitioners are not directly connected to specific case law, statutory, or regulatory provisions. However, the discussion on token

### **Jurisdictional Comparison & Analytical Commentary on the AAAI 2026 Summer Symposium Series** The **AAAI 2026 Summer Symposium Series** in Seoul highlights South Korea’s growing role as a hub for AI innovation, aligning with its **"AI Semiconductor Strategy"** and **"Digital New Deal"** policies, which emphasize AI and semiconductor development. In contrast, the **U.S.**—home to major AI conferences like NeurIPS and ICML—relies on a decentralized academic and corporate-driven model, with strong patent protections under the **America Invents Act (AIA)** and **Bayh-Dole Act** fostering AI research commercialization. Internationally, the **WIPO’s AI and IP Policy** encourages balanced innovation incentives, but enforcement varies, with **Korea’s KIPO** adopting a more streamlined patent examination process compared to the **USPTO’s rigorous, case-by-case approach**. This event’s **"no virtual presentations" policy** may reflect **Korea’s emphasis on in-person collaboration**, contrasting with the U.S.’s hybrid academic culture, where virtual participation is increasingly normalized. For **IP practitioners**, the symposium’s focus on **AI-driven resilience and business applications** underscores the need for cross-jurisdictional patent strategies, particularly in **software-related inventions**, where Korea’s **Korean Patent Act (Article 29)** and the U.S.’s

The AAAI 2026 Summer Symposium Series announcement has implications for practitioners as it highlights opportunities for in-person networking and collaboration within the AI community, emphasizing the importance of face-to-face engagement. Practitioners should note that the ‘no virtual presentations’ policy aligns with AAAI’s commitment to fostering direct interaction, which may influence participation strategies. Statutorily, this event reflects broader trends in professional conference governance, akin to regulatory frameworks governing academic and industry conferences under federal and state educational and labor laws. Case law may intersect with contractual obligations tied to attendance and participation agreements, particularly regarding in-person attendance requirements.