In a world where technology is increasingly intertwined with human emotions, a new frontier is emerging—artificial intelligence that can understand how we feel.
Imagine an AI system that doesn’t just analyze data but senses our emotional state through the words we choose, the way we describe our experiences, and even how consistently we check in with ourselves.
This isn't science fiction. Advances in natural language processing, psychology, and machine learning are making it possible for AI to interpret human emotions with surprising accuracy.
Researchers are now using AI-powered systems to classify mood states based on self-reported text, combining insights from neuroscience and behavioral psychology to enhance human decision-making.
But how does an AI system detect emotions through words? What psychological theories guide its ability to distinguish between stress, motivation, or disengagement? And could this technology reshape how we interact with machines—perhaps even with one another?
Guest: Michelle Baty, Neuro Psychologist
Watch For
02:21 Emotional States & Language
How threat and safety states impact word choice and communication.
04:34 Polyvagal Theory Basics
Explains survival reflexes and their role in emotional expression.
09:12 AI Detecting Emotion
AI can recognize emotional states before a person consciously does.
16:11 AI Ethics & Future Risks
The ethical considerations and future direction of AI-driven emotion recognition.
Listen to the Director's Cut of this episode https://podcast.storiesandstrategies.ca/episodes/
