From: Joshua Fox (joshua@joshuafox.com)
Date: Fri Mar 23 2007 - 05:58:49 MDT
Michael,
But does it make sense to make bias into the highest priority? Isn't it more
important to find a good design for artificial intelligence than to identify
the problems in something quite different -- human intelligence?
> see that essentially *all* errors are attributable to cognitive biases,
Biases are design features in human brains. They generate errors that
consistently go in a certain direction; there is always some reason for
this, such as computational efficiency.
But cannot there be non-bias errors, those generated by bugs in an
intelligence, e.g. in humans, mental illness and problems caused by brain
damage; or in computers, problems caused by software bugs and hardware
glitches?
It just seems strangely over-ambitious to hope to re-make the entire
scientific method, when a very difficult task but more specific task stands
before us.
Joshua
2007/3/22, Michael Vassar < michaelvassar@hotmail.com>:
>
> We focus on bias because we know of abundantly numerous instances of
> historical advocacy of proposals that seem like good ideas initially due
> to
> biases but which were later recognized to be omnicidal.
> More generally, once you know a certain amount about normative reasoning
> you
> see that essentially *all* errors are attributable to cognitive biases,
> and
> when you are aware of UFAI you see that essentially *no* errors in FAI
> design can be tolerated. It must work perfectly the first time. Science
> can't do that. We need something better. Science is a set of evolved
> heuristics for avoiding bias. Via scientific study of bias we hope to
> create somethign better, e.g. systematically designed debiasing
> procedures.
>
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