Scientists from around the world are actively exploring the potential of generative artificial intelligence to recognize emotions in animals. Researchers from the University of the West of England in Bristol and Scotland’s Rural College are developing the Intellipig system, which analyzes photos of pigs and informs farmers about signs of pain, illness, or emotional distress. This breakthrough could greatly simplify animal care and improve their well-being.
The University of Haifa is also joining the effort — its team, which previously created a dog facial recognition program, is now training AI to detect signs of discomfort in animals. The research found that 38% of facial movements in dogs are similar to those in humans, allowing AI to determine their emotions more accurately.
These systems are based on prior analysis by human experts who determine the significance of various animal behavioral cues. However, a pioneering approach was demonstrated by a researcher from the University of São Paulo, who used photos of horses before and after surgery, as well as after receiving painkillers. The AI learned to independently recognize signs of pain by focusing on the eyes, ears, and mouth, achieving a success rate of eighty-eight percent.
These fascinating studies open new horizons in interacting with animals, providing opportunities to better understand their needs and emotions. Further development of such technologies could become an important step in ensuring high standards of animal care on farms and at home.
