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Although artificial intelligence has made significant strides in analyzing extensive datasets and recognizing intricate patterns, it still struggles to replicate the nuanced understanding of human emotions. This study aims to explore the complex relationship between emotional intelligence (EI) and AI, investigating the potential for AI to enhance our understanding and development of EI. Emotion detection in AI often involves analyzing facial expressions, speech patterns, and physiological cues. However, incorporating cultural diversity and biases into training datasets can hinder accuracy and efficiency. A promising area of future research is the development of AI systems capable of not only perceiving emotions but also demonstrating emotional intelligence. Such systems could revolutionize human-robot interactions, fostering more genuine and empathetic connections. Delving into the relationship between EI and AI can gain a deeper understanding of AI's emotional intelligence, appreciating its capabilities and limitations. This knowledge can pave the way for more compassionate and effective human-AI interactions. This knowledge can inform the development of more sophisticated AI systems that can contribute to our own emotional growth and well-being.
Singh et al. (2024) studied this question.