Description: The term ‘zoonotic’ refers to diseases that can be transmitted from animals to humans, raising important considerations in public health and the ethics of artificial intelligence (AI). These diseases, known as zoonoses, can be caused by viruses, bacteria, parasites, and other pathogenic agents found in various animal species. The interconnection between humans and animals, especially in urban and rural settings, increases the risk of transmission of these diseases. Bioinformatics plays a crucial role in identifying and analyzing zoonotic pathogens, allowing researchers to track their evolution and spread. Additionally, the ethics of AI becomes a relevant aspect when considering how data and algorithms are used to predict and control zoonotic outbreaks. The implementation of AI systems in public health must be careful, ensuring that human rights are respected and biases in the data used are minimized. In this context, understanding zoonotic diseases is not only vital for public health but also raises ethical questions about responsibility in data management and decision-making in health crises.
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