The Science Behind How AI Understands Human Emotions
AI infers emotions by learning patterns across multiple signals—words, voice, facial micro‑expressions, and sometimes physiology—and fusing them with models that account for context; accuracy rises with multimodal inputs and careful fusion, but ethical and cultural limits remain critical. What signals AI reads Why multimodal beats single‑channel From recognition to understanding Real‑world applications Limits, biases, and … Read more