What is it about?
When to use Generative AI and for what in research? Drawing the line between what use is acceptable and what is not challenges us as researchers. In doing so, we often justify GAI use in terms of efficiency gains, quality improvements or innovative use of the newest technologies. There is another way to draw the line that, at least to me, makes more sense: Taking researcher integrity as our starting point. In this editorial in the Information Systems Journal, we argue that scholarly research is an intrinsically human intellectual endeavour. And thus, GAI tools can be used in research only for the most mundane, non-intellectual activities.
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Why is it important?
A contemporary cause of integrity violations is the misuse of Generative AI (GAI), a technology that is seeing very widespread use among academics, some of which is problematic.
Perspectives
I hope we can make a convincing case that research integrity should play a central role when considering the use of GAI in research. Readers may react to the core values of this editorial in different ways, and some may like it and others may not. However, we need to debate this.
Dr Petter Nielsen
Universitetet i Oslo
Read the Original
This page is a summary of: Research Integrity Matters, But It Is Undermined by Generative
AI, Information Systems Journal, June 2026, Wiley,
DOI: 10.1111/isj.70055.
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