AI is already changing how students, researchers, and professors do their work. But is using it cheating, collaboration, or simply the next evolution of the tools academics have always relied on?

In this episode, Colin Campbell, Ph.D., challenges the idea that the most important question is whether someone used AI. Instead, he asks a harder one: Who owns the idea?

Dr. Campbell joins our own Jim Mourey, Ph.D., to discuss what authorship means when AI can review literature, organize information, analyze data, help structure an argument, and even generate the words on the page. Where does the machine's contribution end and the scholar's responsibility begin?

The conversation explores the difference between using AI as a shortcut and using it as a genuine research tool, why academic writing may be more formulaic than we like to admit, and how AI can sometimes create more work rather than less. Dr. Campbell also digs into one of the biggest challenges facing universities: how do we teach the next generation to use these tools without allowing them to skip the very processes that teach critical thinking, judgment, and good scholarship?

A thoughtful conversation about AI, authorship, accountability, and what it will mean to be a student or a scholar in the years ahead.

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This episode was hosted by Jim Mourey
Consumer Insights 101 is a production of the Association for Consumer Research