Researchers are developing AI systems to analyze animal emotions, potentially transforming how humans understand and care for animals. One such project, Intellipig, is being developed by scientists in the U.K. and Scotland to study pig facial expressions. This system analyzes images and alerts farmers if a pig appears to be in pain, sick, or experiencing distress. Similarly, researchers at the University of Haifa are working on an AI model that examines dogs’ facial expressions, using a technique based on their previous work in facial recognition for lost pets. Their research suggests that dogs share 38% of their facial movements with humans, making AI a promising tool for detecting their emotions.
These AI models initially rely on human observations to label different emotional states, but some systems are learning patterns on their own. A researcher from the University of São Paulo trained an AI system using photos of horses taken before and after surgery and after administering painkillers. By analyzing their eyes, ears, and mouths, the AI independently identified pain indicators with an impressive 88% accuracy. This breakthrough suggests that AI could help veterinarians and animal caregivers better assess animal well-being without relying solely on human judgment.
The potential impact of AI in animal welfare is significant. If perfected, these technologies could lead to better care in farming, pet ownership, and wildlife conservation. Farmers could receive real-time alerts about livestock health, pet owners might better understand their pets’ needs, and veterinarians could use AI-assisted diagnostics for quicker assessments. While AI cannot replace human expertise, its ability to detect subtle facial cues that might go unnoticed could be a game changer. As researchers continue refining these models, AI-driven animal emotion recognition may soon become a standard tool in veterinary science and animal care.
