Is a machines ability to understand emotion blocked only by the lack of appropriate data ‘inputs’ to our models?  Or is there an ethereal quality to personality that’s uniquely human?

Photo by Mulyadi on Unsplash

Photo by Mulyadi on Unsplash

In the rapidly advancing world of artificial intelligence, one challenge stands tall: the quest for machines to truly understand and express human emotions, and in so doing both read and create personalities – to move from the mimic to the relatable. This challenge – the current lack in depth of interaction between humans and machines – signifies the gap between the currently limited (if impressive) AI, and the ultimate goal of achieving Artificial General Intelligence (AGI). Emotion: More Than Just Data One of the primary hurdles for AI in understanding emotions is the intrinsically nuanced nature of emotions themselves. While AI excels at processing vast amounts of data and recognising patterns, emotions are not just data points. They are complex, multidimensional, and deeply intertwined with human experiences, memories, and culture. They often appear fickle on the surface, but really deep underling beliefs. Unlike a mathematical problem, there’s no definitive solution to understanding or expressing an emotion.   It’s an increasingly accepted preemies that the human brain works as a predictive tool, but importantly a tool with the ability to rapidly create new neural pathways when reality doesn’t meet our predictions.  We have the ability not just to predict, but to continually update our model. The prevailing neural network models strive to replicate this prediction approach, but, they overlook one key element: the unique influence of mirror neurones in a humans brain.  It’s mirror neurones that enable us to recognise, and empathise with, a reaction observed in others, by drawing from our past experiences.  This is what makes us human and allows us to form relationship. It build our personalities and is a evolutionary output of our social natures. And importantly it’s far, far more nuanced than current models can replicate, however large they grow. Real-time Interaction: The Empathy Gap When it comes to real-time human interactions, the absence of genuine empathy in AI becomes glaringly evident.  Imagine a doctor, delivering a life altering diagnosis to a patient: In such…