Employing generative AI for your research can enhance your work in several different ways, adding efficiencies to research process and workflows including:
However, there are several considerations to keep in mind when incorporating the use of these tools into your research process.
Trustworthiness/Reliability:
While many of these tools are drawing on vast amounts of reliable data, the black-box nature of these applications can at times make it difficult to verify the source of the the information they generate. The inability to verify the source of the information and contents these tools produce can make it difficult to rely on the accuracy of the output.
Generative AI is NOT a research database:
While these tools can be used for discovery, they are not scholarly literature databases nor are they search engines. In some cases these products will have been trained using data from scholarly resources, but unlike a discovery platform which will point you directly to the source literature, generative AI tools are designed to "generate" their own content or output.
Privacy and Bias and Other limitations:
While some products and tools are open source others are commercial and commonly capture information about users, which is a privacy concern. Generative AI tools commonly reproduce biases inherently found in the data sets on which they are trained, potentially causing both harm and misinformation.
Generative AI tools continue to evolve and change with new products continually being created and introduced. We can anticipate that some existing tools and functionalities will be discontinued while others will develop new enhancements and versions.
As different generative AI products are trained on different large language models, the data ranges and accuracy of the included information will vary from tool to tool. When searching for timely or current information, an AI tool will only be as good as the dates of coverage included in the data set on which it was trained.
Copyright considerations
Generative AI tools are evolving quickly along with their impact on research, teaching, and learning. Use of these tools pose a number of both opportunities and challenges to our common understanding of the application of related policies and regulations. Some of the concerns surrounding Generative AI and copyright are outlined below:
If you would like to use Generative AI tools for content generation, consider the following:
While you can use these tools to create content, you may not own or hold copyright in the works they generate.
This page has been adapted from Harvard Library with the use of a Creative Commons license.
Please give attribution to the University of Minnesota Crookston