Framework for this could be looking for AI that is useful, by definition smarter than human.
The foundation is once the AI takes off, it needs to land.
When this take off and landing happens, its the job of humans, to know whether the act of AI actually did anything positive.
The problem is we as humans seem not have models and perfect measurements.
For instance if AI does something in economy, what exactly makes us believe, what it did was correct?
How can we know it was good?
Even economist struggle to put real life measurements into meaningful framework?
I guess we could use AI first to model the world better than we can?
For instance we act as if economical theories work. The reality is this is hardly true, if we measure less of reality than actually is.
One could argue that this is what intelligence does.
It abstracts principals. Those help people to act on realities, and ignore all else that is irrelevant.
The problem is that if AI works with just the exact variables we humans work with, all it can do, is to extrapolate from imperfect information.
Its likely going to just end up with our conclusions, but with slightly more accurate models.
For instance macro economic models don’t tell us anything about reality.
It just tells us something about our ability to interface with reality through data.
When we look at stocks we aren’t actually looking at the real thing.
We are looking at sets of information that we can effectively manipulate to our advantage.
If we want AI that actual helps us, to be smarter, and not just be a computer, we need it to do more than manipulate data that is pretty much useless.
Framework for this could be looking for AI that is useful, by definition smarter than human.
The foundation is once the AI takes off, it needs to land.
When this take off and landing happens, its the job of humans, to know whether the act of AI actually did anything positive.
The problem is we as humans seem not have models and perfect measurements.
For instance if AI does something in economy, what exactly makes us believe, what it did was correct?
How can we know it was good?
Even economist struggle to put real life measurements into meaningful framework?
I guess we could use AI first to model the world better than we can?
For instance we act as if economical theories work. The reality is this is hardly true, if we measure less of reality than actually is.
One could argue that this is what intelligence does.
It abstracts principals. Those help people to act on realities, and ignore all else that is irrelevant.
The problem is that if AI works with just the exact variables we humans work with, all it can do, is to extrapolate from imperfect information.
Its likely going to just end up with our conclusions, but with slightly more accurate models.
For instance macro economic models don’t tell us anything about reality.
It just tells us something about our ability to interface with reality through data.
When we look at stocks we aren’t actually looking at the real thing.
We are looking at sets of information that we can effectively manipulate to our advantage.
If we want AI that actual helps us, to be smarter, and not just be a computer, we need it to do more than manipulate data that is pretty much useless.