why AI gets it wrong and how to fix it

AI only works correctly when patterns are identified correctly. Patterns are used to identify objects, changes in customer behavior, and how things move. It doesn't matter if it is AI client-facing, focused on production, or managing finances. AI gets it wrong and should be expected to get it wrong.

Always ask --

What does your company gain when AI works right?

What does your company lose, its costs, and risks when AI gets it wrong?

How does that change when it's a false positive? false negative?

narrator - Chris Pehura