Imagine understanding the barks, meows, or chirps of the animals in your care.
For zoo and shelter staff, the prospect of decoding animal communication could transform how you manage animal welfare, training, and enrichment. Recent advancements in artificial intelligence (AI), particularly in natural language processing and behavioral analysis, are bringing us closer to this reality.
Understanding what animals are saying
New research, conducted by Dr. Elodie Briefer at the University of Copenhagen, suggests that AI can analyze animal vocalizations and behaviors to uncover patterns humans might miss. By leveraging machine learning, AI models can process vast datasets of sounds, movements, and physiological signals to interpret what animals are expressing, whether it’s stress, hunger, or contentment. This could mean better understanding the needs of diverse species, from tigers to parrots, and improving their quality of life. Dr. Briefer gave a short video interview about her work in this YouTube video.
Image credit: Marcin Szczepanski/Michigan Engineering
One key application is in decoding vocalizations. AI, trained on recordings of animal sounds, can identify specific meanings in vocal patterns. For example, a dog’s bark might vary in pitch or frequency depending on whether it feels playful or threatened. In a shelter, staff could use AI tools to distinguish between a dog’s anxious bark and a happy one, allowing for tailored interventions like extra playtime or a quieter environment. The University of Michigan created this YouTube video explaining the possibilities. “There is so much we don’t yet know about the animals that share this world with us. Advances in AI can be used to revolutionize our understanding of animal communication, and our findings suggest that we may not have to start from scratch.” noted Rada Mihalcea, director of University of Michigan AI Laboratory. Similarly, zoo staff could monitor vocalizations of animals like elephants or primates to detect signs of distress or social bonding, enabling proactive care.
AI and body language analysis
Beyond vocalizations, AI can analyze body language and facial expressions. Machine learning models, similar to those used in human facial recognition, can be adapted to interpret animal gestures. For instance, a cat’s ear position or a chimpanzee’s posture could reveal emotional states. Shelter staff could use this to assess whether a rescued animal is adjusting to its environment or needs more socialization. In zoos, understanding subtle cues from animals like reptiles, which are harder to read, could improve enclosure designs or feeding routines.
AI and animal health monitoring
Some believe AI has potential to bridge interspecies communication. By combining vocal, visual, and physiological data, AI could create a “translation” system, allowing staff to respond more effectively to animals’ needs. Imagine a tablet app that analyzes a parrot’s squawk and suggests it is hungry or a wearable device that alerts zoo staff to a stressed-out zebra based on heart rate and movement. Such tools could streamline daily tasks, making it easier to prioritize care for animals showing signs of discomfort. This YouTube video describes the potential AI brings for this project.
Wearable heath monitor. Photo: Freepic
Can we trust AI with our animals?
However, challenges remain. The research points out that AI models require extensive, species-specific data to be accurate, which can be time-consuming to collect. Zoo and shelter staff could play a critical role here by contributing recordings and observations to build robust datasets. Ethical considerations also arise, ensuring AI respects animal autonomy and does not lead to over-interpretation of their behaviors. “AI often generates made-up responses (Hallucinations) that please the user rather than being anchored in objective reality. This could be a disaster if applied to pets’ welfare.” said Professor Jonathan Birch, the inaugural director of Jeremy Coller Centre for Animal Sentience. The Jeremy Coller Centre for Animal Sentience, supported by a £4 million multi-year pledge from the Jeremy Coller Foundation, will pioneer innovative methods to scientifically explore animal emotions and apply animal sentience research to create improved policies, laws, and care practices for animals. The center will launch at LSE in autumn 2025, leveraging LSE’s interdisciplinary strengths. It will unite top faculty, students, and global experts in fields like philosophy, veterinary medicine, comparative psychology, neuroscience, behavioral science, computer science, artificial intelligence, economics, and law, fostering collaborative research and a shared dedication to enhancing animal welfare.
Final thoughts
AI offers a game-changing opportunity to deepen connections with animals. By decoding vocalizations, body language, and emotions, AI can enhance welfare assessments, improve training, and aid in enrichment evaluation. While the technology is still developing, your expertise in animal behavior can help shape its future. Embracing AI could make your work more impactful, ensuring the animals in your care are not just heard, but understood. No matter where AI takes us, you can depend on Otto Environmental’s expertise in custom enclosures, caging, and vast array of time-proven environmental enrichment products to deliver top performance for your veterinary clinic, zoo, shelter, or laboratory.