Artificial intelligence and computer vision are increasingly being applied to monitor farm animal welfare. These tools offer the potential to improve welfare by enabling continuous monitoring and early detection of problems at scale.
AI welfare monitoring tools represent a genuine opportunity to improve farm animal welfare at scale by enabling continuous, objective assessment that human observers cannot provide economically. Early detection of lameness, tail biting, or respiratory disease enables intervention before welfare problems become severe. However, these tools also carry risks: over-reliance on automated monitoring may reduce human engagement with animals, and false negatives could create a false sense of welfare assurance. The most beneficial applications augment rather than replace human welfare assessment, providing alerts that direct human attention rather than substituting for it. The technology is advancing rapidly and the welfare potential is significant if implemented thoughtfully alongside regulatory standards for validation and oversight.