An AI-Human Collaborative Review of AI-Human Collaborative Reviews

Generative artificial intelligence (“genAI”) refers to applications of Artificial Intelligence used to generate contents including prose, poetry, scholarly documents, images, audio, and video files. A possible use case for genAI is authoring of scholarly documents -- including research reviews, primary research papers, and research proposals. GenAI is associated with risks of AI hallucination where fake, spurious and fradulent materials are generated by genAI that pass off as authentic materials, leading to misinformation, and ethical issues when it comes to research outputs. Given that genAI can be both convenient and harmful, the goal of this paper is to conduct a review of the state of art of the balance in the use of AI tools. Three AI tools were used to develop this review: search and expansion of search, and for data extraction. AI tools were not used for content authoring. The results of this review suggest that genAI tools when combined with human authoring can provide excellent exemplars of human-AI collaboration, particularly improving the flow and quality of the output. At the same time, there are needs of caveats and preventive frameworks must be put in place that can ensure transparency, and foster responsible research conduct.