It's easy to think of Artificial Intelligence as a magic wand, a tool that instantly makes us better, faster, and more efficient. And in many ways, it is. But as we dive deeper into the world of AI, a fascinating question emerges: why aren't we all benefiting from it in the same way? It turns out, simply having access to AI isn't enough. There's a whole layer of how we choose to interact with it, a concept researchers are calling "substantive use."
Think about it. You've got a powerful new piece of software, maybe something that can draft emails, analyze data, or even generate creative text. The default might be to just use the most obvious features, the ones that are front and center. But "substantive use" goes beyond that. It's about taking a moment, reflecting, and really digging into how those AI capabilities can best serve your specific needs. It's the difference between just asking an AI to write a sentence and understanding how to prompt it to generate a whole paragraph that perfectly captures your intended tone, or how to use its analytical power to uncover deeper insights rather than just surface-level numbers.
This idea isn't entirely new. Researchers have been looking at how people use technology for a while, trying to understand what makes some users more adept than others. Now, this thinking is being applied to AI. The Frankfurt University of Applied Sciences, through its Working Papers series, has been exploring this very topic. A recent paper by Michael Klesel and Uwe Messer delves into this "substantive use" of AI, highlighting that individual differences play a significant role in how effectively people leverage these powerful tools.
They've been sifting through existing research, and what they're finding is that while the field of Information Systems (IS) is starting to pay attention to these individual differences in AI use, there's still a lot to unpack. Their work proposes a model to better understand not just the direct impact of these differences, but also how they interact in complex ways to shape our behavior when using AI.
It’s a subtle but crucial distinction. It suggests that the future of AI isn't just about building smarter machines, but also about understanding and fostering smarter users. It’s about encouraging that moment of reflection, that curiosity to explore beyond the obvious, and that willingness to tailor the AI's capabilities to our unique goals. Because ultimately, the true power of AI might lie not just in its algorithms, but in our own thoughtful engagement with them.
