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It seems what ML is really doing is exposing weaknesses in our scientific processes. The appropriate response here is to fix the processes, instead of blaming
by cle 8y ago
It seems what ML is really doing is exposing weaknesses in our scientific processes. The appropriate response here is to fix the processes, instead of blaming the latest fad and imploring people to "try harder". If the root cause isn't fixed, the next fad after ML will cause the same thing again. What feasible systemic changes can we make so that scientists can't get away with publishing sloppy results?
It's not an interesting question for many scientists, who prefer focusing on technical solutions over political ones.
- Certhas 8y agoI think it is a very interesting question for a lot of scientists, but also an extremely hard one to answer. And an even harder one to implement. Even obvious wins that almost everyone can agree on, like getting publishing out of the hands of for-profit entities that add no value is taking forever, because cultural, social and political institutions are hard to move.