AI-generated references in the context of regional anesthesia: Correspondence

Dear Editor, Chatbots including ChatGPT is an interesting emerign technology. De Cassai and Dost discuss the emerging technology, ChatGPT, with regard to its application in clinical anesthesiology.[1] While the research raises significant concerns about the unthinking use of ChatGPT in the context of regional anesthesia, it is vital to examine the limitations of the analysis as well as the potential benefits that artificial intelligence (AI) technologies can offer when used wisely. To properly grasp the impact and ramifications of AI-generated references in academic research, more research and empirical evidence are required. One of the main worries is the possibility that ChatGPT will be used to publish false or deceptive information in academic or scientific journals, endangering patient outcomes and care. This might happen if ChatGPT is used to generate answers that are intentionally inaccurate or dishonest, or if it is used to produce answers that are not based on reliable or recent information. AI should not be used to create, modify, or approve sensitive content without human oversight.[2] To react to them and learn from them, ChatGPT needs a lot of data. As illustrated by ChatGPT’s findings, these datasets may contain preconceived notions or assumptions that later turn out to be correct. AI should not be used to create, modify, or approve sensitive content without human oversight.[2] For both replies and learning, ChatGPT gathers a lot of data. Some of these datasets might have preconceived notions or assumptions that ChatGPT’s responses subsequently prove to be true. Patients may receive false or misleading information as a result. It is critical to investigate how AI affects ethics. Any potential ethical issues related to the use of AI Chatbots in scholarly research must be mentioned. A complete analysis should have addressed ethical issues such as authorship attribution, intellectual property rights, and any biases in data or algorithms. Financial support and sponsorship Nil. Conflicts of interest Corresponding author ask for waiving for all charge from the journal.