Attitudes and Perceptions of Medical Researchers Towards the Use of Artificial Intelligence Chatbots in the Scientific Process: A Protocol for a Cross-Sectional Survey

Abstract

Abstract Artificial intelligence (AI) refers to computer systems or robots that can perform tasks associated with human intelligence, such as reasoning, problem-solving, and learning. While AI programs have not matched human versatility, they are increasingly used in various domains like self-driving cars, speech transcription, medical diagnosis, and smart assistants. AI has benefited fields like medicine, healthcare, and scientific research by improving productivity, reducing errors, and lowering costs. AI chatbots are conversational programs used for customer service, mental health support, and education. In scientific research, chatbots have the potential to automate tasks like literature searches, data analysis, and manuscript writing, improving efficiency and addressing the reproducibility crisis. However, there are challenges to overcome, including accuracy, reliability, ethical concerns, and limitations of current chatbot models. Scholarly publishing faces debates about authorship and guidelines have been established by journals and publishing organizations regarding the use of AI chatbots. To understand researchers’ attitudes towards AI chatbots, an international survey is proposed to explore their familiarity, perceived benefits, limitations, and factors influencing adoption. Findings can guide policy development and implementation of AI chatbots in scientific research.

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