>> Then again, is this really all that different to the many human-driven blind spots science has had in the past? Yes, because humans can build models that ar

>> Then again, is this really all that different to the many human-driven blind spots science has had in the past? Yes, because humans can build models that are explanatory as well as predictive, and so can, eventually, get over blind spots. See for example the theory of epicycles and how it was eventually superseded by Kepler's laws and Newton's. The danger with deep learning for science is that we will again be stuck in a rut, relying on (what we think are) good predictive models without explanatory power. In the case of astronomy and the theory of epicycles, the rut lasted more than a thousand years. That is a terrifying thought, considering the mess we currently find ourselves in and the urgent need for true scientific understanding of the world, before we destroy it.