AI and its Impact on Human Emotion

Abstract: Artificial Intelligence (AI) has increasingly become part of everyday human interaction, influencing not only technical operations but also emotions, behavior, decision-making, and interpersonal relationships. Advancements in conversational AI, recommendation systems, and emotionally responsive technologies have encouraged users to rely on AI-generated responses for emotional support, personal guidance, and decision assistance. This study examines the impact of AI on human emotions, particularly in the areas of decision-making, emotional dependency, and relationship dynamics. The research adopted a qualitative review-based methodology involving the analysis of 18 research papers published between 2018 and 2026 related to Artificial Intelligence, Human–AI Interaction, affective computing, and emotional AI systems. The study critically analyzed major AI models and algorithms including Transformer architectures, Convolutional Neural Networks (CNN), Long Short-Term Memory (LSTM) networks, Reinforcement Learning systems, and recommendation algorithms to understand their role in emotionally adaptive interactions. The findings revealed that AI systems increasingly influence emotional reasoning and behavioral patterns through personalized responses, emotional simulation, and algorithmic recommendations. However, the study also identified significant limitations, including dependence on incomplete user inputs, lack of genuine emotional intelligence, probabilistic reasoning, and inability to fully understand complex human emotions and contextual realities. Furthermore, excessive dependence on AI systems may contribute to emotional bias reinforcement, cognitive dependency, and reduced independent critical thinking. The study concludes that while AI technologies offer convenience, accessibility, and emotional support, future development must prioritize human-centered AI design, ethical governance, emotional transparency, and preservation of human emotional autonomy to ensure balanced and responsible Human–AI Interaction.

Keywords: Artificial Intelligence, Human Emotions, Human–AI Interaction, Conversational AI, Emotional Dependency, Decision-Making, Recommendation Systems, Emotional AI, Affective Computing, Ethical AI