Perspectives of UK horse carers towards the use of artificial intelligence

Background: Artificial Intelligence (AI) is becoming increasingly prevalent in the modern world, including in veterinary medicine. Methods: This cross-sectional study aimed to investigate horse carers attitudes towards using AI for equine care. An online survey was distributed to UK horse owners/carers in 2025, covering participants’ demographics and use of AI, and their opinions of AI for equine care. Statistical analysis included descriptive statistics, categorisation of free text responses and logistic regression to determine factors associated with opinions. Results: Ninety-seven responses were analysed. Participants had a predominantly positive opinion of AI to automate large datasets for equine care, and a predominantly negative opinion for automating communications and medical decision-making. Key categories identified in free text responses were: AI use in general/equine care, desire for human interaction, and AI as a supportive aid only. Positive attitudes to AI for equine care were significantly associated with participants’ opinions of AI in their own lives (OR:3.69, 95% CI 3.06-4.45) and understanding of AI (OR:1.31, 95% CI 1.03-1.66). Limitations: Small exploratory UK study, Conclusion: Horse owners/carers had mixed opinions of the use of AI in equine care, and their primary concern was around it replacing human decision-making.

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Publication Details

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Repository@Nottingham (University of Nottingham)
Published
2026-02-21
Primary Topic
Veterinary Practice and Education Studies
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article
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article

Perspectives of UK horse carers towards the use of artificial intelligence

R. S. Hyde, S.L. Freeman, C. W. Buckley
Repository@Nottingham (University of Nottingham)
Veterinary Practice and Education Studies
article

Perspectives of UK horse carers towards the use of artificial intelligence

R. S. Hyde, S.L. Freeman, C. W. Buckley
article en

Abstract

Background: Artificial Intelligence (AI) is becoming increasingly prevalent in the modern world, including in veterinary medicine. Methods: This cross-sectional study aimed to investigate horse carers attitudes towards using AI for equine care. An online survey was distributed to UK horse owners/carers in 2025, covering participants’ demographics and use of AI, and their opinions of AI for equine care. Statistical analysis included descriptive statistics, categorisation of free text responses and logistic regression to determine factors associated with opinions. Results: Ninety-seven responses were analysed. Participants had a predominantly positive opinion of AI to automate large datasets for equine care, and a predominantly negative opinion for automating communications and medical decision-making. Key categories identified in free text responses were: AI use in general/equine care, desire for human interaction, and AI as a supportive aid only. Positive attitudes to AI for equine care were significantly associated with participants’ opinions of AI in their own lives (OR:3.69, 95% CI 3.06-4.45) and understanding of AI (OR:1.31, 95% CI 1.03-1.66). Limitations: Small exploratory UK study, Conclusion: Horse owners/carers had mixed opinions of the use of AI in equine care, and their primary concern was around it replacing human decision-making.

Repository@Nottingham (University of Nottingham)
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Openalex Percentile: Top 13%
Veterinary Practice and Education Studies
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