Artificial intelligence (AI) has meticulously transferred our society, culture and everyday lives. AI as a discipline covers machine learning, natural language processing, computer vision, robotics and export systems and deep learning to solve the real time problems of the society. These components allow machines to learn, understand, and interact with the world around them in ways that were previously impossible.

Artificial Social Intelligence (ASI) involves integration of AI with social science insights to make systems that imitate, understand, and participate in human social interactions and behavior, emotional comprehension, compassion and sensitivity to social cues. These improvements contribute more reliable, concerned and successful engagements between human and AI-driven systems. By analyzing massive datasets of human interactions, AI models can identify patterns of social conduct and incorporate them into their responses. Natural Language Processing techniques empower AI systems to grasp and generate human language, enabling them to discern emotional undertones, sentiments, and contextual nuances in text or speech. This expertise is essential for crafting proper responses in social conversations and customer interactions. Systems equipped with artificial social intelligence can identify and respond to emotions expressed in human communication.

Artificial Social Intelligence can simulate social interactions for diverse objectives, like training customer service representatives or aiding in public speaking practice. Virtual agents driven by this technology can engage in role-playing scenarios to facilitate users' social skill development.