That isn't what concerns me. I wouldn't expect the CEO of Apple to explain the inner workings of any of their algorithms. That's not their function. What scares me is that people who program or specify these things don't know how the heck decisions are made.
From credit decisions to self-driving cars, we are trusting black boxes with no idea why they make specific decisions.
Now that's probably cause for concern too, of course. Imagine if you actually saw the massive personal data trove that has been collected on you which is being used to make these decisions. Sends a shiver up the spine doesn't it?
I don’t think it’s really fair to expect a C-level exec to know the low-level details of how creditworthiness is determined. I’m sure they can paint in broad strokes, but expecting a detailed answer for why a specific person got approved for a certain amount is a bit of a reach.
In the case of Woz having a higher limit than his wife, I’m sure it boils down to the usual stuff like, oh I don’t know, not being a cofounder of a massively successful corporation and therefore being filthy rich for the last 30+ years.
There might very well be a case to be made here but not likely between two people who are so very different in financial terms (or were for most of their lives). Your credit score isn’t something that changes the instant you get married to someone who’s rich.
No, I wouldn’t be concerned in the slightest - I’d just get a card from somewhere else.
A lot of the technology we produce is fundamentally biased by our own perceptions, and in ML case most especially by the input data. The danger is a self-perpetuation of already established systemic bias. Given access to good credit is key towards economic mobility that can have massive ongoing implications. The fact that they're saying "It's just what the algorithm produces" should be triggering huge alarm bells, regardless of the veracity of any of his other claims.