So yes, the use of AI / machine learning _can_ be helpful in solving inverse problems but only if used very carefully.

Machine learning can help somewhat in that you can modify your small assumptions about a number of potential outcomes, and let the software utilize the various “effects” (input data) to attempt to find pathways to the potential causes (the small assumptions).

But I agree – the danger is in the assumptions. The expected results become the results, making a nice, neat, balanced, logical B-A… and potentially very wrong.

So yes, the use of AI / machine learning _can_ be helpful in solving inverse problems but only if used very carefully.

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