Artificial Intelligence and Human Behaviour: Transforming Cognition, Communication and Social Interaction

Abstract

Artificial Intelligence (AI) has moved from being primarily a computational technology to becoming an increasingly influential component of everyday human life. AI-powered systems are now embedded in communication platforms, search engines, recommendation systems, educational technologies, healthcare applications, workplaces, entertainment, and social media. As interaction with intelligent technologies becomes more frequent, AI is not merely performing technical tasks but increasingly influencing how individuals think, communicate, make decisions, form relationships, and participate in society. This research paper examines the relationship between artificial intelligence and human behaviour, with particular emphasis on cognition, communication, and social interaction. It explores how AI systems can influence attention, memory, information processing, decision-making, creativity, learning, and problem-solving. The paper further analyzes the transformation of human communication through conversational AI, machine translation, automated content generation, personalized recommendation systems, and algorithmic social platforms. Particular attention is given to the emergence of human–AI interaction as a new form of social and psychological relationship in which individuals may attribute intelligence, agency, personality, or emotional characteristics to machines. The paper also discusses potential benefits, including improved accessibility, personalized learning, enhanced communication, decision support, productivity, and social connectivity. At the same time, concerns regarding cognitive dependence, automation bias, misinformation, privacy, algorithmic influence, social isolation, reduced human interaction, and changes in interpersonal relationships are examined. The study argues that the effects of AI on human behaviour are neither universally positive nor negative; rather, they depend on technological design, individual characteristics, social context, patterns of use, and institutional governance. The paper concludes by emphasizing the importance of human-centered AI development, digital literacy, ethical governance, psychological research, and interdisciplinary approaches for understanding and managing the behavioural consequences of increasingly intelligent technologies.