Threats to the Approval of Technical Sign Language in Science Via Artificial Intelligence Applications for Deaf Students

Numerous artificial intelligence (Al) applications have been developed in the field of technical sign language translation for deaf students, aiming to facilitate communication with others. These applications also address errors in human sign language interpretation and the limitations in some interpreters' technical skills Despite the emergence of Al-based sign language translators, it cannot be definitively stated that the translations are fully linguistically accurate. This raises concerns about the approval of sign language translations produced by Al, even though such applications have become widespread Furthermore, there is a notable lack of experimental stodies addressing this critical issue in the education of deaf students and their integration into mainstream society, both within and outside the school environment. This research paper aimed to identify and document the threats that affect the validity of technical sign language in science for deal students via Al applications, which may hinder learning and communication for this group These threats may also contribute to the rejection of Al-based sign language translation Additionally, the paper explored some methods for evaluating Al-translated sign language, which can be uned to assess the linguistic outputs at the word or sentence level to determine whether they shenild be accepted or repected in the development of sign language for educational purposes.
The paper reported some of these threats and evaluation methods by analyzing relevant literature, studies, and previous rosearch. It abe discussed insights from field experts, with the goal of addecssing these threats and improving the acentacy and scceptance of AL-based sign language translation for deat students.