Transdisciplinary Initiatives to Collaborate on the Responsible Use of AI for Animal Welfare

Mona Giersberg; Bas Rodenburg

doi:10.6084/m9.figshare.25897855

Transdisciplinary Initiatives to Collaborate on the Responsible Use of AI for Animal Welfare

Mona Giersberg^*
, Bas Rodenburg

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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.

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	https://doi.org/10.6084/m9.figshare.25897855
Publication status	Published - 2024

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

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10.6084/m9.figshare.25897855Licence: CC BY

Measuring Behavior 2024-Final-webFinal published version, 137 KBLicence: CC BY

Cite this

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title = "Transdisciplinary Initiatives to Collaborate on the Responsible Use of AI for Animal Welfare",

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.",

author = "Mona Giersberg and Bas Rodenburg",

year = "2024",

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language = "English",

isbn = "9789074821957",

pages = "45--48",

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booktitle = "Proceedings of the 13th International Conference on Methods and Techniques in Behavioral Research",

publisher = "figshare",

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Transdisciplinary Initiatives to Collaborate on the Responsible Use of AI for Animal Welfare. / Giersberg, Mona; Rodenburg, Bas.
Proceedings of the 13th International Conference on Methods and Techniques in Behavioral Research. ed. / A. Spink; G. Riedel; K. Truong; L. Robinson. figshare, 2024. p. 45-48.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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AU - Giersberg, Mona

AU - Rodenburg, Bas

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AB - 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.

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DO - 10.6084/m9.figshare.25897855

M3 - Conference contribution

SN - 9789074821957

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BT - Proceedings of the 13th International Conference on Methods and Techniques in Behavioral Research

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A2 - Riedel, G.

A2 - Truong, K.

A2 - Robinson, L.

PB - figshare

ER -

Transdisciplinary Initiatives to Collaborate on the Responsible Use of AI for Animal Welfare

Abstract

UN SDGs

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