AI is an evolving concept. It processes information but overlooks emotional intelligence (EQ). AI has to account for intellectual capabilities and at the same time should understand and respond to human emotions.

AI has shown proficiency in tasks ranging from data analysis to language translations. Its limitation lies in the fact that it is oblivious to emotions of its users. A conversational bot dealing with a customer is adept in giving factual answers but if the user is disappointed with the service and is upset, it fails to respond to this emotional turbulence. The interaction is thus transactional and not empathetic.

EQ covers self-awareness, self-regulation, motivation, empathy and social skills. AI must be infused with these attributes. It will enhance user experience. Such interactions will facilitate the resolution of healthcare issues. Emotionally intelligent AI will appreciate a patient’s anxiety about a diagnosis. It will converse reassuringly.

Humans and AI interact on the basis of trust. EQ is the key to build this trust and maintain it. In mental health problems, EQ-based AI could provide emotional support.

AI could help us overcome stress. Emotionally intelligent AI must safeguard the privacy. Such systems must supplement human support and must not supplant it.

The integration of AI and EQ is a transformative leap. It is a combination of intellectual capability and emotional response. AI need not stop producing smarter machines but should go further and build understanding and caring machines.