EMOTIONAL INTELLIGENCE IN THE ERA OF ARTIFICIAL INTELLIGENCE

Abstract

The proliferation of chatbots created by Open AI, Anthropic, Google, Microsoft, and other companies is evidence that Artificial Intelligence (AI) is developing quickly. AI greatly increases productivity, but it lacks human emotional intelligence, or the capacity to comprehend, sympathize with, and form emotional connections. Human-centered emotional intelligence combined with the scale of AI creates a powerful learning formula. But most organizations lack the in-house resources or capabilities to execute this combination effectively. That’s where trusted partners like EI Powered by MPS come in. In AI, the term "emotional intelligence" describes a system's capacity to recognize and react to human emotions. Affective computing and Emotion AI are other names for this technology. It entails utilizing artificial intelligence to decipher and analyze body language, facial expressions, and other indicators of human emotions. Using facial recognition technology, one can identify emotions like fear, anger, sadness, and happiness by analyzing their facial expressions. This technology analyzes facial features like the shape of the mouth, eyes, and eyebrows using algorithms. Voice recognition technology uses an analysis of a speaker's tone and pitch to identify different emotions, including anger, sadness, and happiness. This technology analyzes speech patterns and detects emotional cues using machine learning algorithms. Artificial intelligence (AI) systems that are able to recognize and react to the emotional states of students can offer tailored support and feedback, enhancing the educational process. Emotional intelligence and artificial intelligence have the power to completely change how people engage with technology.