Perspective highlights the need to understand machine learning mechanisms before artificial intelligence can gain scientific trust, suggesting interpretability is critical for adoption.
Artificial intelligence is everywhere. But before scientists trust it, they first need to understand how machines learn.
No takes yet. Share an insight, caveat, or question.
Davide Castelvecchi (2016) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: