Deep Epistemology
We tend
to think of epistemology as the production of verifiably true statements about
the world. I want to suggest that we
shift our focus to what it means for a person to actually ‘know’ something and
the value that such knowing brings to our lives. It is not enough to say that we know
something because we possess information or data about a particular
subject. Knowing implies that we have
changed as a function of learning, that my situated place in the world is
impacted by what I’ve learned. Dewey
tried to capture this by foregrounding ‘experience’ as the primary focal point
of philosophy and learning. Experiential
learning always involves other people, so that knowing something is always a
social and linguistic operation. I think
the concept of ‘deep epistemology,’ along the lines of deep ecology that places
us in the ecology and not as an arbiter outside it, is a way to develop a more
complicated and complex understanding and modeling of what it means to ‘know.’
To
begin with, knowing is never about knowing the world ‘as it is’ because we are
always already involved in the process of making that world. Language, or as Maturana puts it
‘languaging,’ is the act of interacting with others to bring forth a
world. This is an active, which is to
say experiential, process and not a passive one or one that can be reduced to
abstract representations. A friend of mine
tells a story about his seventh- grade daughter winning a contest by remembering
the capitols of all 50 states. Later
that week when they were driving by the capitol located in their city, she had
no comprehension of what a capitol was.
Because she could say that Lansing was the capitol of Michigan, she got
credit on a test, but what did she really know about capitols? This example is trivial on one level but
profound on another. She manipulated a
short-termed stimulus to her advantage, but she had no connection to the activity
or process that makes a capitol meaningful.
In Cognition in the Wild, Edwin Hutchins
explains how cultures construct intelligences to make it possible for them to
understand and function in the world. In
that context, ‘knowing’ something is always connected to a cultural action. Maturana likes to say that at some point all
knowledge is verifiable by behavior. In
other words, I can talk about playing violin all day, but at some point I have
to actually play the violin to be credible.
Turning epistemology into an analytical and linguistic game blinds us to
the deeper implications of knowing. If
knowing is social, then everything I know and learn has an inherent ethical
dimension to it. This is particularly
true about what I presume to know about other people. In the last century, a one- dimensional
social science assumed we could reduce people to statistics and data. When I was teaching, I would have
administrators occasionally produce aggregated data about my students. In the end, the report would always talk
about the ‘average’ student. My point
was always that I never met that average student. She didn’t exist, except in some parallel
statistical universe. The data and
trends could be helpful. They could give
me different frames and concepts to work with, but they were not ‘true.’ Reducing any particular student to those
averages was to replace knowing and working with them with an authoritative
abstraction that gave me power over their experience.
In some
basic sense, all learning is a function of narrative inquiry. That is not to say that it is necessarily
solipsistic, because language is always connecting, to one degree or another,
what we know with the larger cultural frameworks we operate within. But our knowing is deeply our knowing. We use it to connect with others. We use it impact the social and material
conditions we live in, but part of it is always uniquely our own. Part of it is about our own quest to
understand ourselves as simultaneously connected and isolated. We have to function in both of those realms
at the same time. How we act in our
world, the ethics, intelligence and humanity we express is a function of what
we know deeply.
In the
same sense, intelligence can never be ‘artificial.’ Machine intelligence can augment, organize
and challenge what we know, but it is not the same as human intelligence. It is not connected to the social and
biological reality of our being, no matter how much it might appear to
replicate it. Knowing is more than
intellect. It is the connections we make
in the social, ecological and emotional universe we construct. It is as much a function of the way we
connect to music or read a poem as it is an abstract intellectual
property. Both can make us more
‘experienced,’ both can make us better actors and co-creators of the world we
share and shape. Deep epistemology
realizes and honors all of that.
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