Artículo

The language model based on sensitive artificial intelligence – ChatGPT: Bibliometric analysis and possible uses in agriculture and livestock

Resumen

ChatGPT adds to the list of artificial intelligence-based systems designed to perform specific tasks and answer questions by interacting with users (Apple’s Siri, Amazon’s Alexa, Google’s Assistant and Bard, Microsoft’s Cortana, IBM’s Watson, Bixby from Samsung, among others). ChatGPT works using OpenAI’s GPT (Generative Pretrained Transformer) language model and is capable of learning from users’ preferences and behavior patterns to customize its response. ChatGPT has the potential to be applied in different fields, including education, journalism, scientific writing, communication, cell biology, and biotechnology, where there is already evidence. The aim of this work was to analyze the possible applications of ChatGPT in the agricultural and livestock industry. First, a scientometric analysis was performed with VosViewer and Bibliometrix (Bliblioshiny). 3 clusters were identified: (a) Main characteristics; (b) learning systems you use; and (c) applications. To the question: What are the main applications in which ChatGTP will revolutionize agriculture (or livestock) in the world? ChatGPT responded: (a) in the agricultural field: improvement of agricultural decision-making, optimization of agricultural production, detection and prevention of plant diseases, climate management, and supply chain management; and (b) in the livestock field: improvement of animal health and welfare, optimization of animal production, supply chain management, detection and prevention of zoonotic diseases, and climate management for animal production. ChatGPT does not scientifically support its answer, but from the analysis carried out, we find that there is enough scientific evidence to conclude, in this case, that its answers were correct. While ChatGPT does not necessarily scientifically substantiate its answers, users should. There is a lack of studies on the use of Artificial Intelligence and its relationship with ethics.
Siche, Raúl (22987015000); Siche, Nikol (58202021400)
The language model based on sensitive artificial intelligence – ChatGPT: Bibliometric analysis and possible uses in agriculture and livestock; [El modelo de lenguaje basado en inteligencia artificial sensible – ChatGPT: Análisis bibliométrico y posibles usos en la agricultura y pecuaria]
2023
10.17268/sci.agropecu.2023.010
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85153855335&doi=10.17268%2fsci.agropecu.2023.010&partnerID=40&md5=5645f47b8aed2c556c62f24ed8a8fff7
All Open Access; Gold Open Access
Scopus
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