Generative AI tools can be very useful and help streamline research. However, they do have limitations. In addition to some of the limitations outlined below, generative AI may be prone to problems yet to be discovered or not fully understood.
There are several generative AI tools that support the research process. Below is curated list of resources.
ChatGPT was trained on a body of text which allows it to generate text in response to a prompt. However, the entire body of text that has trained ChatGPT is unknown. When ChatGPT provides an answer to a question, it will not immediately provide a reference for where the information came from. This is because it is pulling predictive language from a wide variety of places, so the information usually doesn't come from a single source. Because of this, you typically cannot trace the response back to a single parent source or know where the information came from.
Yes, when prompted, ChatGPT can provide references. However, these references may not be where the information actually came from and - more importantly - may not be for real sources. Despite sounding plausible, ChatGPT can easily hallucinate citations.
For example, ChatGPT provided this citation and summary in response to a prompt about needing an academic journal article on the topic of amphetamine use and social determinants of health:
"Here's an example of a peer-reviewed journal article on amphetamine abuse and its intersections with social determinants of health:
Stoové, M. A., Dietze, P. M., Jolley, D., Fry, C. L., Brewer, N., & Hellard, M. E. (2008). Increasing access to sterile injecting equipment and syringe exchange in a rural area with a high prevalence of bloodborne viruses. Australian Journal of Rural Health, 16(2), 99-106.
This article describes a study conducted in a rural area of Australia with a high prevalence of bloodborne viruses, including those associated with amphetamine use..." OpenAI. (2023, February 17). [ChatGPT response to a prompt about locating an academic journal article]. https://chat.openai.com/
Although the summary sounds plausible and the citation looks realistic, this article does not exist. The journal exists, as does the lead author. However, Stoové has not published in this journal.
As of August 2024, the cutoff date for the data ChatGPT was trained on is July 2023. This means the tool has limited access to events and information more recent than that. ChatGPT is being updated regularly, so this may change. However, it is important to realize that the currency of the information provided by ChatGPT is lagging. This can impact information credibility, especially when dealing with a topic where the age of your information matters.
Source: Adapted from Salt Lake Community College Library: ChatGPT and Information Literacy