Nine months ago we released Synthesis AI Search for AEC Firms to our client community. Since then, we’ve seen some remarkable things.
Firms are surfacing knowledge that was previously buried across intranets and databases. They’re connecting employees with internal experts more easily, helping marketing teams find project precedents and draft communication, and using AI Search to support digital design practices, scale expert knowledge, upskill emerging professionals, and make onboarding more effective.
Our clients are making significant improvements to how their firms work and learn.
And yet, alongside all this momentum, I’ve also heard a growing concern:
“I’m worried that our employees are going to accept whatever AI tells them at face value and run with it.”
This concern isn’t new. We’ve long tried to teach people to question what they read online, to check sources, to verify claims. But something about this moment—maybe it’s the polish, maybe it’s the speed, maybe it’s the aura of intelligence that clings to anything branded AI—feels different.
Which brings me to a word I didn’t learn until later in my career, but which now feels central to this moment: epistemology, and its practical counterpart, epistemic humility.
What is Epistemology?
If you’ve never heard the word epistemology, you’re not alone. I didn’t encounter it until around 2017, when I met Larry Prusak, a mentor and pioneer in the knowledge management field.
Epistemology is the study of knowledge: how we know what we know, how knowledge is formed and validated, how it evolves or gets distorted over time. It’s a field that touches everything from philosophy to science to journalism, and increasingly, AI.
Larry introduced me to a related concept that’s stuck with me ever since: epistemic humility. The idea that we should be humble about what we know, cautious about what we claim, and curious enough to keep questioning even our most cherished assumptions as well as the assertions of others.
It’s one of those phrases that’s quietly shaped how I lead, how we build products at KA, and how I think about the future of knowledge work.
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