A flattening function of `variance', would prefer inter-subjective consistency. 
 A flattening function of `sum' would select for best subjective outcome for 
the most people.  One could probably invent a many-body utility function from 
the ground up too.  
-----Original Message-----
From: Friam <[email protected]> On Behalf Of glen
Sent: Tuesday, February 15, 2022 1:51 PM
To: [email protected]
Subject: Re: [FRIAM] by any means necessary

Well, you're right that inter-subjectivity is not identical to objectivity. But 
it's not quite right to say that the intersubjective is merely subjective. All 
that's needed to communicate that difference is the blind men and the elephant 
story. You don't need the source code for the functions if you can 
cross-validate them "enough". More technically, it's useful to compare 
interpretable ML with explainable ML. One may be enough for credibility in some 
uses but inadequate in others. And one might ask whether iML is really all that 
interpretable if the interpretability falls away with scale *or* the accuracy 
falls away without scale.

On 2/15/22 13:44, Marcus Daniels wrote:
> A calculus that invokes subjective interpretations of outcomes is itself 
> subjective.  To make it objective, it would be necessary to draw conclusions 
> from the outcomes and not from black-box subjective functions.  The source 
> code for the functions needs to be shared.

-- 
glen
When elephants fight, it is the grass that suffers.


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