AI’s black box problem: Why is it still indecipherable to researchers

When a neural network is operational, even the most specialized researchers are often left in the dark about what’s happening. This isn’t a discussion about biology; rather, it pertains to artificial intelligence algorithms — specifically those based on deep learning, which mimic the connections between neurons. These systems operate as a black box, remaining indecipherable even to data scientists, the brightest minds in academia, and engineers at OpenAI and Google, who have recently been awarded the Nobel Prize.

Seguir leyendo