Welcome to the demonstration repository for the Human-Centered AI for Systematic Literature Review (HCAI-SLR) framework. Our framework integrates human expertise and AI capabilities to conduct thorough and efficient systematic literature reviews in academic research.
In this demonstration, we apply the HCAI-SLR framework to the topic of "Artificial Intelligence or Machine Learning in Cybersecurity in SMEs: A Systematic Literature Review." The process illustrates the use of AI tools, including large language models like ChatGPT, and smart interface-based applications, to enhance each step of the literature review.
- Human Initialization: Defining the research topic and initiate each step.
- AI Augmentation: Utilizing tools like ChatGPT for generating research questions, keyword identification, draft writing, data extraction, and synthesis.
- AI Triangulation: Cross-validating findings using different AI tools.
- Human Oversight: Final validation and decision-making by researchers.
This repository includes:
- Table of AI-powered Tools: A table of AI-powered tools with their involvement in each step of SLR.
- Detailed Demonstration of A Real Case Study: Examples from AI tools used in the process SLR using HCAI-SLR framework.
- Excel file of Extracted Data: An Excel file containing the extracted data from step Data Extraction.
The HCAI-SLR framework is a balanced approach to systematic literature reviews, combining human insight with AI's computational power. It enables researchers to leverage AI for efficiency while ensuring human-led quality and rigor in their reviews.
For comprehensive details on the HCAI-SLR framework, please refer to our published paper (to be updated). We encourage feedback and improvements through issues and pull requests on this repository!