Comparing Human and AI-Assisted Evaluation of Interpreting Performance
Investigating whether large language models can support error-based interpreting performance assessment and whether integrating AI with human expertise can become a promising hybrid approach to interpreting quality evaluation highlights that comprehensive human oversight remains indispensable.