AICon 2026-Responsible and Explainable Artificial Intelligence in Real-World Applications
PushButton AI Team ·
AICon 2026-Responsible and Explainable Artificial Intelligence in Real-World Applications
You bought the AI tool. Nobody used it. $200/month quietly canceled.
That's not a you problem. That's an explanation problem.
Here's what most vendors won't tell you: the biggest reason AI fails in
You bought the AI tool. Nobody used it. $200/month quietly canceled.
That's not a you problem. That's an explanation problem.
Here's what most vendors won't tell you: the biggest reason AI fails inside businesses isn't the technology. It's that nobody — including your team — can see why the AI made a decision. So they don't trust it. So they ignore it.
Researchers are now calling this "explainability." Basically, can the AI show its work? Turns out, if your people can't understand what the tool is doing and why, adoption dies quietly every single time.
This reframes the whole buying decision. Stop asking "what can this AI do?" Start asking "can my team see how it reached that answer?" That one shift filters out 80% of the shiny tools that will collect dust.
One thing you can do this week: before your next AI demo, ask the vendor to walk through a real decision the tool made and explain the reasoning step by step. If they can't, your team won't be able to either. That's your answer before you spend a dollar.
What's the one AI tool you bought that your team never actually adopted — and what do you think killed it?
Its rapid integration ... Despite significant advancements, several challenges persist in integrating responsible and explainable AI into real-world ...
