Examining the Reliability of ChatGPT

Abstract

ChatGPT, launched by OpenAI in November 2022 is an advanced AI language model designed for natural language processing and versatile applications across various sectors. However, it is important to address the limitations of AI models in academic research, particularly in contexts where accuracy and evidence-based responses are crucial. In this context, the chapter aims to thoroughly assess the reliability and accuracy of AI-driven tools, specifically ChatGPT, in providing information on retracted academic literature using COVID-19 as a case study. The chatbot's ability was analyzed to identify and reference retracted COVID-19 papers to highlight the limitations of AI models in academic research. The research provides valuable insights into the challenges associated with using AI tools for scholarly purposes. The research provides valuable insights into the difficulties of using AI tools for academic purposes. It highlights the need for enhanced AI models capable of accurately handling complex, fact-based queries in scholarly and research environments. The findings show that ChatGPT can only identify a limited subset of relevant retracted articles on COVID-19, and the references it generates rely on predictive logic rather than verified data. emphasizing the need for improved AI models to accurately handle complex, fact-based queries in academic and research settings.

Ähnliche Arbeiten