What it is
A lot of AI worry asks, “what happens if these systems get smarter than us?” Black-box deployment risk asks something we can observe today: systems making decisions we can’t trace, in places where failure has consequences, deployed faster than anyone’s understanding can keep up.
I think it predicts current harm better than speculation about capability, because it’s about what we can already see.
How it shows up for me
I work with these systems every day, and I like them. That’s exactly why I want the boring questions answered first. Who can see why it decided that? What happens when it’s wrong? Who is responsible?