THE IMPACT OF ARTIFICIAL INTELLIGENCE ON SIGN LANGUAGE COMMUNICATION
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Аннотация:
This thesis examines the transformative influence of Artificial Intelligence (AI) on sign language communication, highlighting its role in enhancing accessibility, inclusivity, and communication efficiency for the deaf and hard-of-hearing community. The research explores how AI-based tools such as gesture recognition systems, neural networks, and computer vision models are enabling real-time sign language translation and bridging communication gaps between hearing and non-hearing individuals. The study draws upon global practices, technological developments in advanced countries, and empirical data to assess the current state, challenges, and future directions of AI-driven sign language innovations.
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Библиографические ссылки:
World Health Organization (2023). Deafness and hearing loss. Retrieved from https://www.who.int/news-room/fact-sheets/detail/deafness-and-hearing-loss
Koller, O., & Ney, H. (2021). Deep Learning for Sign Language Recognition and Translation. IEEE Transactions on Pattern Analysis and Machine Intelligence.
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Pradhan, A., Mehta, K., & Sharma, R. (2023). Ethical AI in Accessibility: Challenges in Sign Language Recognition Systems. Journal of Artificial Intelligence Ethics, 5(2), 210–225.
