This study addresses the issue of arbitration procedures conducted through Artificial Intelligence (AI) in block chain-related disputes, a topic of significant theoretical and practical importance in light of the rapid development of digital transaction models. The research aims to examine the regulatory framework governing arbitration when AI systems are relied upon to perform key arbitral functions, such as receiving claims, analyzing data, issuing arbitral decisions, and overseeing their enforcement — all within a decentralized and transparent environment that calls for a reconsideration of traditional legal concepts.
Moreover, the study explores the role of the oracle as a critical technological component that enables AI-based arbitration systems to access real-world (off-chain) data beyond the block chain network. This function is essential for resolving disputes that depend on external factual inputs; however, it raises legal concerns regarding the evidentiary validity and procedural reliability of such data within the arbitration process.
The research will be divided into the following sections:
The first section: Artificial intelligence-based arbitration procedures in smart contract disputes.
The second section: Legal issues facing artificial intelligence-based arbitration procedures to resolve smart contract disputes.