All the talk about inscrutability of convolutional neural nets and AI that can explain itself has me wondering: what are non-trivial (and used in real systems) examples of the opposite kind of algorithm: highly scrutable and self-explanatory?
For example greedy graph search.
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People who talk about the inscrutability of neural networks are often complaining about the lack of mathematical proofs for optimality, convergence etc.
If you bring them, it doesn't mean they will suddenly become scrutable :) any more than to 0.00000001% of mathematicians..
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In the research community, this is what the debate is about. See for example the debate between Lecun and Rahimi. The politicians and regulators will shadow this debate, but the key questions are framed first in the research community.
medium.com/@Synced/lecun-
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