Ethical Implications of Artificial Intelligence in Veterinary Medicine

AI has the potential to enhance accessibility to veterinary care and streamline clinical workflows. However, its implementation necessitates consideration of critical issues such as the accuracy of AI diagnostics, inherent biases in algorithms, privacy concerns regarding data stewardship, and the preservation of animal welfare in light of technological advancement. The authors advocate for AI to function as a supportive tool for veterinarians rather than a replacement for their expertise.

Current AI applications in veterinary medicine include client communication, scheduling, record-keeping, and diagnostic evaluation. A 2024 survey reported that 39.2% of 3,968 veterinary professionals incorporated AI in their medical practices, and 69.5% utilized it for administrative tasks. Despite the benefits, ethical considerations arise concerning the reliability of AI outputs, which are essential in high-stakes clinical decisions.

An overview of AI capabilities distinguishes between narrow and general AI, with current systems being largely narrow AI focused on specific tasks. Applications range from diagnostic tools for imaging and cytological interpretation to educational technologies that enhance veterinary training. While AI promises efficiency and accuracy, ethical questions regarding data bias and privacy, as well as the need for transparency in algorithmic decision-making, remain pressing.

Furthermore, challenges in ensuring data security and maintaining client trust are paramount, especially as data breaches could compromise sensitive information. There is a need for a regulatory framework to address liabilities arising from AI-generated diagnoses and to define the responsibilities of veterinary professionals when using AI tools.

The review underscores the necessity for continued research to improve AI systems, address biases, and educate veterinary professionals on AI's implications for patient care. As the field evolves, veterinary colleges are urged to incorporate AI literacy into their curricula to prepare future practitioners for the ethical and practical challenges posed by AI in veterinary medicine.