"Until fairly recently, artificial intelligence didn’t learn.
To create a machine that learns to think more efficiently was a big challenge. In the same sense, one of the things that I wonder about is how we'll be able to teach a machine to know what it doesn’t know that it might need to know in order to address a particular issue productively and insightfully. This is a huge problem for human beings. It takes a while for us to learn to solve problems, and then it takes even longer for us to realize what we don’t know and all that we would need to know to solve a particular problem, which obviously involves a lot of complexity.
We all think with metaphors of various sorts, and we use metaphors to deal with complexity, but the way human beings use computers and AI depends on their basic epistemologies—whether they’re accustomed to thinking in systemic terms, whether they’re mainly interested in quantitative issues, whether they’re used to using games of various sorts. A great deal of what people use AI for is to simulate some pattern outside in the world. On the other hand, people use one pattern in the world as a metaphor for another one all the time.
What we do is try to set up processes for problem solving and supply the data for analysis, but we don’t give the machine a way of saying, "What else should I know before I look at this question?"
The computer doesn’t know what it doesn’t know, and it's willing to make projections when it hasn’t been provided with everything that would be relevant to those projections.
Once you begin to understand the nature of side effects, you ask a different set of questions before you make decisions and projections and analyze what’s going to happen.
The tragedy of the cybernetic revolution, which had two phases, the computer science side and the systems theory side, has been the neglect of the systems theory side of it. We chose marketable gadgets in preference to a deeper understanding of the world we live in."
Mary Catherine Bateson
writer and cultural anthropologist
in https://www.edge.org/conversation/mary_catherine_bateson-how-to-be-a-systems-thinker
The tragedy of the cybernetic revolution, which had two phases, the computer science side and the systems theory side, has been the neglect of the systems theory side of it. We chose marketable gadgets in preference to a deeper understanding of the world we live in."
Mary Catherine Bateson
writer and cultural anthropologist
in https://www.edge.org/conversation/mary_catherine_bateson-how-to-be-a-systems-thinker
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