How AI is Learning to Understand Human Emotions (Polyvagel Theory)

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?Listen For9:46 AI Can Accurately Estimate YOUR Emotional State12:34 AI Detects Emotions Before Humans Do18:41 Is this Ethical?22:48 Answer to Last Episode’s Question From Guest Greg WassermanGuest: Michelle Baty, Neuro PsychologistThreads | Instagram | FacebookListen to Michelle on the Stronger by Design podcast with Michelle MacDonaldRate this podcast with just one click Stories and Strategies WebsiteAre you a brand with a podcast that needs support? Book a meeting with Doug Downs to talk about it.Apply to be a guest on the podcastConnect with usLinkedIn | X | Instagram | You Tube | Facebook | Threads | Bluesky | PinterestRequest a transcript of this episodeSend us a note about this episode. We'll reply and thank you on a future episodeSupport the show