This research demonstrates the potential of explainable artificial intelligence in judicial interpretation, highlighting its impact on regulatory frameworks.
Key Points
Explainable artificial intelligence can improve the quality and accessibility of justice through automated semantic processing.
This study establishes a theoretical foundation for using explainable artificial intelligence in the legal field.
Research focuses on representation and automated processing of legal information within cognitive and neural systems.
The findings suggest enhancements to the regulatory framework to accommodate evolving legal interpretation through artificial intelligence.