My team's new AI model totally misjudged a wildfire risk in Colorado last month

We were testing our new prediction model on some real data from the Rocky Mountain area, and it gave a low risk score for a zone that actually had a big fire a week later. I mean, we had fed it years of weather info, but it missed some key stuff about the dry ground. Has anyone else had their AI mess up on real world environmental data like that?

3 comments

3 Comments

angela_robinson29d ago

We added soil moisture sensors and it finally started catching those dry ground risks.

anna_coleman4629d ago

But what if the weather data was just wrong?

rileygarcia29d ago

I used to think weather data was enough for those models. But seeing what happened to you and reading angela_robinson's fix, it's clear the ground itself tells you a lot more.