Data science and artificial intelligence are being applied to animal welfare in research, monitoring, and advocacy, with potential to transform welfare assessment and intervention at scale.
Data science and AI applications in animal welfare create opportunities for earlier intervention, more efficient monitoring, and evidence-based advocacy. However, data quality, bias in training data, and appropriate human oversight remain important considerations.