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For AI to thrive, it must explain itself

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Re: For AI to thrive, it must explain itself

#72

Earlier quoted context omitted.

We only know which ones are spurious if we run the trimming algorithms. I wrote a paper about 10 years ago showing how to use generic algorithms on the weight matrix to remove spurious interactions. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2538912/

Do we know which ones are absolutely spurious? Or do we just know which ones are spurious with respect to a particular result that we got? Like for this image of Grandma, these cells are recognizing it, so the others are spurious. Oops, for this other image of Grandma, a different subset are recognizing it. If, say, the same 90% of the structure is not involved in recognizing any instances, then why wouldn't we have…

That’s what the genetic algorithm is for. You essentially add a entropy function that trims connections. If the performance is neutral or improves then the leaner network topology is subject to positive selection in a population.
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