This post is authored by Lorraine Rose, a Faculty Librarian at Charles Sturt University, and draws on a Research Support Community Day presentation in 2024.
The world of academic research is evolving due to Artificial Intelligence (AI). No, AI isn’t here to replace researchers, librarians, databases, or systematic searching; rather, it’s becoming an incredibly powerful tool to help us work faster and smarter. Imagine having a research assistant that can sift through vast amounts of data, find the most relevant articles based on context, and even assist you in brainstorming new ideas – that’s the promise of AI tools in research. As librarians are already rockstars at literature searching, rockstars at literature searching, incorporating AI tools into our search processes, particularly in literature reviews, it becomes a natural extension of our skill set to incorporate AI tools in search processes, particularly in literature reviews.
How AI is Changing the Game
AI is transforming how we search for literature, from finding relevant articles to assisting in screening. We can create a toolkit of AI tools to enhance the research process, complementing our traditional database and grey literature search strategies. AI tools can be utilized during the:
- Initial Scoping of the Literature and Brainstorming Research Questions: At the beginning of the research process, hours can be spent scrolling through databases to find relevant literature. Generative AI-powered tools like Elicit and SciSpace can grasp the context of your research by allowing you to input your research question (rather than relying on keyword searches), suggesting pertinent articles, and even identifying potential research questions you may not have considered. Additionally, they can quickly direct you to your field’s most influential papers and researchers.
- Literature Reviews: AI tools can support various aspects of the literature review process. Initially, they assist in finding seminal (or seed) articles before developing search strategies. Then, after traditional database searching, they can aid in hand searching and citation tracking. Tools like Research Rabbit and Connected Papers can help search reference lists and enhance citation tracking.
- Screening in Systematic Reviews: AI has already been integrated into applications like Covidence to improve screening processes, and other AI tools, such as ASReview and DistillerSR, are emerging to assist with screening.
- Data Extraction, Writing, and Creating Presentations or Social Media Posts: AI tools have endless applications, and our challenge will be to keep up with them all and find the most appropriate, ethical, and reliable ones.
The Librarian’s Role in the AI Revolution
As librarians, we have a unique opportunity to guide researchers through this AI-driven landscape. This entails:
- Becoming AI Savvy Ourselves: We need to understand how these tools function, along with their strengths, limitations, and potential biases. Gaining hands-on experience with these tools enables us to showcase practical examples. This also aids us in developing curated lists of AI tools for various scenarios. However, we must remember that this is an evolving field, and we will need to stay updated on developments and new tools continuously.
- Educating Researchers: Offering workshops, creating online resources, and providing personalized guidance are all essential for helping researchers understand how to use AI tools effectively and competently. Through AI literacy, we can assist researchers in evaluating the reliability of various AI tools and ensure they use them ethically and responsibly.
Choosing and Using AI Tools Wisely
It’s important to remember that AI is a tool. Like any tool, it’s most effective when used correctly. Educating people about using AI tools will be vital to supporting AI in research.
- Recognize the Limitations: Stay aware of the possible biases in AI algorithms and consistently critically assess the output from any AI-powered tool.
- Data Quality Matters: The quality of the data used to train AI models and its source, particularly when the tool utilizes retrieval-augmented generation, directly affects the accuracy of the results.
- Privacy Policies: Understanding how these relate to the data you provide and whether it will be reused.
- Transparency is essential: When using AI in your research, be clear about the tools you used and how you utilized them.
The Future of Research
AI is not about replacing human ingenuity but empowering researchers with new tools and capabilities. By understanding and strategically implementing AI tools, researchers can enhance efficiency, uncover new insights, and expand the boundaries of academic exploration. AI tools serve as sophisticated research companions that complement human expertise and creativity. Librarians play a crucial role in guiding researchers through the AI landscape.
Charles Sturt University Library has created an open educational resource on employing AI tools in academic environments, offering valuable guidance for students and researchers titled “Using AI Tools at University.”
What AI tools do you recommend to your researchers? How are you ensuring that researchers use these tools ethically and responsibly?











