AI is a paradox. It’s amazing, yet frustrating. It’s intriguing yet inadequate.
We often blame AI for not meeting our expectations. But are we clear in our instructions? Do we understand its limitations? We continue to work with the applications.
A study by PwC found that 67% of executives believe AI will help humans and machines work together, and a McKinsey report suggests it will add $13 trillion to the economy by 2030.
The key is patience. Work with AI, learn its quirks, and let it learn about you. Over time, it will get closer to your expectations.
But why don’t we extend the same courtesy to people? Do we assume we were unclear when they don’t meet our expectations? Do we take the time to understand them better?
If machine learning can’t get it right, shouldn’t we be more forgiving of humans? After all, as Seth Godin reminds us, “People are not machines. We are organic and messy and unpredictable.”
