Location
Zoom
Start Date
20-5-2025 12:30 PM
End Date
20-5-2025 3:00 PM
Description
Artificial intelligence (AI) is becoming increasingly integrated into our daily lives, especially for students. While there are valid debates about the advantages and disadvantages of students using AI for their assignments, such as comparing tools like Grammarly and ChatGPT, one aspect that often goes unexamined is the information sources that AI relies on. AI is now integrated into search engines like Google and Bing, making it accessible to everyone. Additionally, with the emergence of AI research tools like ResearchRabbit, AI's role in everyday activities continues to expand beyond easily accessible resources such as subscription databases. AI is now an optional component of library subscription databases like JSTOR and the library discovery tool Primo. This session will discuss the ethical implications of AI and the sources it searches to provide students with search results. We will share our experiences evaluating the search results generated by the AI option for our discovery tool, specifically the sources and search methodology of the AI and whether those searches effectively retrieve results from our current subscriptions. We will also discuss how the sources available to the AI influence the accuracy of the search results relative to what our users can access and why we have not enabled it for our users. Finally, we’ll look at how coursework, specifically student research, will be impacted by these integrative tools once they become a norm on most databases used for research and scholarship.
Recommended Citation
Plass, Kelley and Campbell, Sierra, "AI and ethical use implication for research" (2025). May Institute. 3.
https://digitalcommons.lewisu.edu/may-institute/2025/day_1/3
AI and ethical use implication for research
Zoom
Artificial intelligence (AI) is becoming increasingly integrated into our daily lives, especially for students. While there are valid debates about the advantages and disadvantages of students using AI for their assignments, such as comparing tools like Grammarly and ChatGPT, one aspect that often goes unexamined is the information sources that AI relies on. AI is now integrated into search engines like Google and Bing, making it accessible to everyone. Additionally, with the emergence of AI research tools like ResearchRabbit, AI's role in everyday activities continues to expand beyond easily accessible resources such as subscription databases. AI is now an optional component of library subscription databases like JSTOR and the library discovery tool Primo. This session will discuss the ethical implications of AI and the sources it searches to provide students with search results. We will share our experiences evaluating the search results generated by the AI option for our discovery tool, specifically the sources and search methodology of the AI and whether those searches effectively retrieve results from our current subscriptions. We will also discuss how the sources available to the AI influence the accuracy of the search results relative to what our users can access and why we have not enabled it for our users. Finally, we’ll look at how coursework, specifically student research, will be impacted by these integrative tools once they become a norm on most databases used for research and scholarship.
