[FRIAM] Can current AI beat humans at doing science?

[Barry MacKichan]

I think one of the shortcomings of machine learning is that it can learn 
but has no insight.

A recent lesson about this comes from David Heinemeier Hansson, who 
reported that Apple Card gave him a credit limit 20x that of his wife. 
They live in a community property state, file a joint tax return, and 
have been married a long time. Steve Wozniak reported the same thing 
with a 10x factor. Goldman Sachs has a problem ¯\_(ツ)_/¯. Of course 
they can’t really explain why their AI turned out so sexist. Is the 
only way to correct this to throw out the current model and restart the 
learning from scratch? Is there any other way to correct this?

—Barry


On 21 Jul 2021, at 12:08, Roger Critchlow wrote:

> The current neural network based AI does add novelty to the solution. 
> It learns and gains insight from the data in ways that humans can not.
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