How are article databases different from AI?

• While the pro versions of Chat GPT and other AI are improving in providing scholarly sources, they still lag significantly behind library databases and Google Scholar
• Some of the citations provided by AI may be fake, often referred to as "ghost citations" or "hallucinations"
• AI is like a black box and there is a lack of transparency
• With prompts, we're not just looking for information, we are generating new information

Best Practices for combining Library databases with AI

• Ask AI to generate a list of keywords for searching the databases
• Similarly, ask AI to list some of the important themes for a topic
• AI can effectively interpret complex scholarly articles that users located in Library databases, especially the results sections that contain extensive mathematical analyses. 

Using AI and Library Databases to find Articles

Student research question:

• "Why does the satisfaction of buying a luxury product die down once we own it?"
• None of the keywords in the students' question yielded relevant articles

Copilot's Response when asked about relevant keywords for this topic:

When searching for scholarly articles on why satisfaction decreases after purchasing luxury products, you might use the following keywords:

• "hedonic adaption luxury goods"
• "consumer satisfaction luxury products"
• "Post-purchase dissonance luxury"

Searching an EBSCO database with the term "hedonic adaptation" produced several useful articles.