Artificial Intelligence(AI) Utilization Strategies for the Housing Lease Dispute Mediation System

Since 2016, Korea’s Housing-Lease Dispute Mediation System has sought to resolve landlord-tenant conflicts swiftly and inexpensively outside the courts. Yet, because of limited publicity, low voluntary participation and procedural constraints, recent settlement rates remain below 25 percent. As a remedy, this study focuses on the fast-advancing field of artificial intelligence (AI), already widely discussed in online and alternative dispute-resolution (ODR/ADR) settings. After analysing the system’s current operation and weaknesses and surveying domestic and foreign AI-ADR cases, the study proposes three AI-driven improvements: (i) deployment of conversational-AI chatbots for public outreach and initial counselling; (ii) big-data analytics to supply parties with comparable case patterns and to recommend reasonable settlement options; and (iii) construction of an integrated AI mediation platform that enhances information provision and systematic feedback. These measures are expected to accelerate proceedings, raise procedural efficiency and restore confidence in the mediation scheme, thereby preventing future disputes and reducing broader social costs. Nevertheless, further research is required to manage legal and normative challenges—including data-privacy protection, algorithmic bias and AI hallucination—before full-scale implementation can be realised.