R. Nagarajan, R Lalitha Raja
The rapid advancements in Artificial Intelligence (AI) have profoundly influenced various aspects of human interaction, particularly in comprehension and communication. AI-driven technologies, including Natural Language Processing (NLP), speech recognition, and real-time translation, have significantly enhanced the efficiency and accuracy of information exchange across diverse sectors such as education, business, and professional communication. These intelligent systems facilitate personalized learning experiences, automate routine communication tasks, and bridge linguistic barriers, fostering inclusivity and accessibility.In education, AI-powered adaptive learning platforms and virtual tutoring systems provide tailored instructional strategies that cater to individual learning preferences, improving comprehension and engagement. Similarly, AI's role in professional environments has transformed corporate communication through automated email responses, virtual assistants, and sentiment analysis tools that enhance decision-making and customer interactions. However, despite these advancements, AI-driven communication still faces challenges related to ethical considerations, biases in algorithmic decision-making, and limitations in understanding human emotions and contextual nuances. Data privacy and security concerns further underscore the need for robust regulatory frameworks to ensure responsible AI deployment.This study examines AI's transformative impact on comprehension and communication, analyzing its applications, benefits, and associated challenges. Additionally, it explores potential future developments aimed at refining AI’s contextual awareness and ethical integrity. By addressing existing limitations and fostering human-AI collaboration, AI can revolutionize communication while maintaining fairness, accuracy, and inclusivity.
Artificial Intelligence