Keskeiset käsitteet
The author introduces an AI-based tool utilizing the GPT-4 Assistant API to streamline the article selection phase in Systematic Literature Reviews (SLRs), aiming to enhance efficiency and reduce biases.
The core argument is that integrating AI tools like GPT-4 can significantly accelerate the time-consuming task of literature reviews, improve researcher productivity, accuracy, and revolutionize academic research methodologies.
Tiivistelmä
The content discusses the development of an AI tool using OpenAI's GPT-4 Assistant API to automate the selection phase of Systematic Literature Reviews (SLRs). By leveraging advanced NLP capabilities, this tool aims to enhance efficiency and objectivity in identifying relevant articles across various academic disciplines. The article outlines the background of GPT models, introduces OpenAI's Assistant API, explains the systematic literature review process, details the design phases of the AI tool, provides a deployed example in 'Artificial Intelligence and Entrepreneurship,' discusses benefits, limitations, future research directions, implications for practice and academia, and concludes by highlighting the potential impact on academic research practices.
Tilastot
The escalating volume of academic literature presents a formidable challenge.
Utilizing OpenAI's GPT-4 Assistant API homogenizes article selection across disciplines.
The adoption of a standard GPT model reduces biases and enhances speed.
The SLR process involves substantial human judgment.
Traditional SLR methods have difficulty keeping up with information volume.
Advanced NLP-based tools can alleviate SLR shortcomings.
APIs simplify communication between software components.
OpenAI's Assistant API automates natural language processing capabilities.
Systematic Literature Reviews aim for exhaustive reviews on specific subjects.
Automation tools powered by AI can expedite SLR processes.
Lainaukset
"The adoption of GPT-4 through OpenAI's Assistant API equips researchers with a potent instrument for efficiently navigating academic literature."
"Human expertise continues to hold crucial value in certifying selected articles despite AI advancements."
"Future research could broaden AI-based services for deeper analysis under researcher supervision."