While the 'open box by default' ideal is admirable, I wonder how much this would practically aid understanding of the underlying system among users/regulators t

While the 'open box by default' ideal is admirable, I wonder how much this would practically aid understanding of the underlying system among users/regulators today, or when faced with even larger models down the line. Don't get me wrong, I'm pro sharing training data, but I'm questioning our current ability to wade through and understand large model parameter complexities when there are some many bespoke features and use-case specific designs. I'm hopeful we see more innovation in this space once we're able to access training data more easily, which this regulation might enable more broadly. But then, how do we prevent nefarious actors from doing the same? Who is to say a 'low risk model' today is not a high risk one tomorrow?