The Cognitive and Sociolinguistic Effects of Multilingual Artificial Intelligence Systems on Language Acquisition and Linguistic Evolution

Abstract

This study examines how multigoal Artificial Intelligence tools, like Chat GPT models and translation apps, changing the learning and using languages in our communities. It uses cognitive experiments and surveys about language use to see how these AI systems affect memory, understanding, and vocabulary growth. It also looks at their influence on social behaviors, such as switching languages (code-switching) and the survival of minority languages. The results indicate that AI tools make it easier for people to learn languages by needing less mental effort and helping with making sentences. However, they also create problems, such as making people depend more on popular languages like English, which can push lesser-used languages aside. On a positive note, AI can help save languages at risk of disappearing, with initiatives like Google’s Endangered Languages Project. The study stresses the need for teamwork among AI developers, educators, and communities to make sure these tools support language variety while improving learning. At the end, this research gives valuable information to policymakers and technology creators on balancing AI's advantages with the importance of protecting the world’s language diversity.