Driver, Not Passenger: How Technical Communicators Lead the AI Shift
- Presentation
- Artificial Intelligence (AI) in Technical Communication
- 12. November
- 02:00 PM (CET) - 02:45 PM (CET)
- Plenum 1
-
Elzbieta Wiltenburg
- Aleido
Contents
Everyone in technical communication is talking about AI. Fewer are seeing it actually work. The gap between promise and reality is not a technology problem. It is a systems and people problem, and it has two distinct layers: the genuine limitations of AI today, and a deeper structural layer that will remain even as the technology improves.
When knowledge lives in inboxes, tools operate in isolation, and data was never designed to be machine-readable, adding AI on top produces confident-sounding noise. Fixing that requires rethinking foundations: how data flows, how knowledge is structured, and what agents actually need to act reliably rather than just respond.
But the technical half is only half the story. Metrics, oversight, and human judgment are not afterthoughts. They are what makes transformation stick. And as automation increases, deep domain expertise becomes more valuable, not less.
The people who will shape how AI lands in technical communication are not waiting for someone else to figure it out. This talk combines a clear framework with practical, role-specific steps, so every attendee leaves with something they can act on immediately.
Takeaways
Recognise the two layers blocking AI from working. Understand why your knowledge and judgment are the missing foundation. Walk away with a concrete next step relevant to your own role and situation.