The Missing Layer of AI: Artificial Emotional Intelligence

Artificial Intelligence has become remarkably good at generating content, reasoning, coding, and answering questions. Yet one critical challenge remains: humans do not make decisions based on logic alone.

Trust, motivation, frustration, engagement, confidence, cognitive biases, and emotions significantly influence how people interact with technology. As AI becomes increasingly embedded in our daily lives, the next frontier is not simply making AI smarter, it is making AI more emotionally aware.

In this session, we will explore the emerging concept of Artificial Emotional Intelligence (AEI) and examine how Large Language Models and conversational agents can better understand human context, adapt communication styles, and foster more meaningful interactions.

Through real-world examples and live demonstrations, we will compare traditional AI systems with emotionally aware AI experiences, discuss the psychology behind human-AI collaboration, and explore practical design patterns for building AI that people trust and enjoy using.

We'll also address the ethical implications, limitations, and risks of emotionally adaptive AI, offering a balanced perspective on what the future may hold.

This talk sits at the intersection of Generative AI, Cognitive Science, Human-Centered Design, and Product Innovation.