Trustworthy Multimodal AI Systems for Automated Language Evaluation

The increasing demand for scalable and reliable language assessment across global education, workforce mobility, and immigration systems has exposed significant limitations in traditional human-based evaluation methods, including subjectivity, inconsistency, and lack of scalability. While recent advances in artificial intelligence have enabled automated scoring systems, most existing approaches rely on single-modality inputs such as speech or text, resulting in incomplete and less reliable assessments.