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Black box learning
When the rules are applied an AI does a lot of complex math. This math, often, can’t even be understood by humans (and sometimes it just wouldn’t be worth the time it would take for us to figure it all out) yet the system outputs useful information. When this happens it’s called black box learning. The real work happens in such a way that we don’t really care how the computer arrived at the decisions it’s made, because we know what rules it used to get there. Black box learning is how we can ethically skip “showing our work” like we had to in high school algebra.
Contributeurs: Claude Coulombe, Imane Meziani, wiki
