Consider the following guidance to help you choose the right type of AI tool and ensure its outputs are suitable for your needs.
When evaluating an AI tool for scholarly research, consider:
Consider whether the tool is limited by a knowledge cut-off date or can search the web in real time. Many AI tools rely solely on pre-trained data and do not access live information.
Is the tool suitable for establishing a general idea around a chosen topic; does it allow for broad academic inquiry; or is it suitable for a specific field of study?
Some tools display their search strategies, demonstrating how they locate literature and arrive at their generated response.
Unlike scholarly AI databases which rely on academic data, general tools like ChatGPT and Copilot are less likely to produce answers based on peer-reviewed literature.
Does the tool promote a range of scholarly voices, drawing its response from a variety of sources?
Once you have considered the capabilities and limitations of your chosen AI tool, use the following principles to critically evaluate its outputs:
Check the output against trusted academic sources, especially when using free versions of GenAI tools like ChatGPT and Copilot.
Always verify whether generated citations have been hallucinated, or fabricated and that the citation's claims can be backed up using credible sources.
AI can oversimplify complex ideas or leave out nuance. Be sure to research further so that you are not missing out on important context.
AI reflects patterns in its training data. If the information seems insufficient, consider using another tool or trusted scholarly source to get the information you require.