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Ethical Considerations for Artificial Intelligence Tools in Small Animal Veterinary Medicine
1School of Computing and Information Systems, Centre for AI and Digital Ethics, The University of Melbourne, Grattan Street, Parkville, Melbourne, Victoria 3010, Australia.
This article explores the ethics of artificial intelligence (AI) in veterinary medicine, emphasizing accountability for AI developers and practitioners to ensure animal welfare. It guides the responsible creation and use of AI tools for better animal health outcomes.
Area of Science:
- Veterinary Medicine
- Artificial Intelligence Ethics
Background:
- Growing availability of artificial intelligence (AI) tools in veterinary practice.
- Need to ensure AI promotes patient well-being and prevents harm.
- Ethical considerations for AI in small animal medicine are becoming increasingly important.
Purpose of the Study:
- Examine the ethical implications of AI in small animal veterinary medicine.
- Define accountability for various stakeholders involved with veterinary AI.
- Promote responsible development and implementation of AI tools.
Main Methods:
- Ethical analysis of AI in veterinary contexts.
- Review of accountability frameworks for AI.
- Consideration of both "machine" and "human" factors in AI use.
Main Results:
- Identified ethical challenges in veterinary AI.
- Outlined specific accountability responsibilities for practitioners, developers, managers, and professional bodies.
- Highlighted the importance of understanding ethical issues for AI governance.
Conclusions:
- Establishing clear ethical guidelines and accountability is crucial for veterinary AI.
- Responsible AI implementation is key to upholding the core veterinary obligation of animal health and welfare.
- Proactive ethical consideration will guide the future of AI in veterinary medicine.
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