Abstract
Artificial Intelligence-based methods have the potential to expand human capacities to measure and monitor
animal welfare indicators more accurately and continuously. However, developing or adapting these methods
requires the expertise of relatively unrelated academic fields, such as veterinary medicine and computing sciences.
Therefore, collaborative structures are needed that offer perspectives beyond individual research projects. One
example of such initiatives is the AI & Animal Welfare Lab at Utrecht University, which we present in this paper.
animal welfare indicators more accurately and continuously. However, developing or adapting these methods
requires the expertise of relatively unrelated academic fields, such as veterinary medicine and computing sciences.
Therefore, collaborative structures are needed that offer perspectives beyond individual research projects. One
example of such initiatives is the AI & Animal Welfare Lab at Utrecht University, which we present in this paper.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 13th International Conference on Methods and Techniques in Behavioral Research |
| Editors | A. Spink, G. Riedel, K. Truong, L. Robinson |
| Publisher | figshare |
| Pages | 45-48 |
| Number of pages | 4 |
| ISBN (Electronic) | 9789074821957 |
| ISBN (Print) | 9789074821957 |
| DOIs | |
| Publication status | Published - 2024 |
