Immigration Law

### **Jurisdictional Comparison and Analytical Commentary on *discourse_simulator* and Its Impact on Immigration Law Practice** The emergence of *discourse_simulator* as a tool for modeling public attitudes toward immigration presents significant implications for immigration law practice across jurisdictions. In the **United States**, where immigration policy is heavily influenced by public opinion and political discourse, such simulations could inform legislative advocacy, judicial reasoning in immigration cases, and executive policymaking—particularly in high-stakes debates over asylum, deportation, and refugee admissions. The **Korean** context, where immigration policy is increasingly shaped by demographic pressures and nationalist sentiment, could similarly benefit from predictive modeling to assess public reactions to proposed reforms, such as expanded labor migration or multicultural integration policies. From an **international perspective**, particularly within the framework of the **UN Global Compact on Migration (GCM)** or regional human rights mechanisms (e.g., EU asylum policies), this tool could provide empirical insights into how policy shifts influence public sentiment, potentially guiding states in balancing sovereign immigration controls with human rights obligations. However, the tool’s reliance on LLM-generated discourse also raises ethical concerns—particularly regarding bias in AI-driven simulations and the risk of reinforcing polarizing narratives—necessitating regulatory oversight akin to the **EU AI Act’s risk-based approach** or **Korea’s AI Ethics Principles**. Ultimately, while *discourse_simulator* offers a novel lens for understanding immigration attitudes, its integration into legal and policym

### **Expert Analysis of *discourse_simulator* for Immigration Law Practitioners** This paper introduces an innovative **LLM-agent-based social simulation framework** that could indirectly inform immigration policy analysis by modeling public attitude diffusion—a critical factor in visa adjudications (e.g., H-1B/H-4, L-1, or EB green card cases) where public sentiment influences adjudicator discretion or legislative changes (e.g., **INA § 214(b)** denials or **AC21** protections). While not directly tied to immigration law, the tool’s ability to simulate **real-world event-driven opinion shifts** (e.g., protests, controversies) could help practitioners anticipate **changing adjudication trends** (e.g., stricter H-1B RFEs post-public backlash) or **policy shifts** (e.g., L-1 visa restrictions tied to nationalist sentiment). #### **Key Connections to Immigration Law & Policy:** 1. **Adjudicator Discretion & Public Sentiment** – Under **8 C.F.R. § 103.6**, USCIS officers have broad discretion in visa adjudications; simulations like *discourse_sim* could theoretically model how **media-driven moral panics** (e.g., "H-1B visa fraud" narratives) influence adjudication patterns. While not a legal precedent, this aligns with **Chevron deference** (now under reconsideration post-*L