Minds, Brains, and Programs
By: Dr. John R. Searle
This paper
is arguing the long debate about Artificial Intelligence (AI) and whether or
not man-made machines are fundamentally capable of intentionality. Intentionality meaning the understanding of something
past what it is, and more about what it embodies. Dr. Searle’s example of the Chinese box
explains that a machine that passes the Turing test does not imply that it has
intentionality. A machine that can take
in Chinese characters and accurately give a response in Chinese does not imply that
the machine understands Chinese like a Chinese speaking human does. A person, that has no prior knowledge of Chinese,
can also take in Chinese characters in the same way, and use the same
algorithmic processes the machine uses to get the same answer without knowing
what they mean. Since the human does not
understand Chinese, but can still deceive a Chinese speaking human into
thinking they do, then the machine by comparison does not understand Chinese in
the same way.
The rest
of the paper is Dr. Seale refuting responses to his argument about how man-made
machines cannot achieve intentionality as a human mind can. He explains that the human mind is intentional
because our human brain is “causally capable of producing perception, action,
understanding, learning, and other intentional phenomena. And part of the point
of the present argument is that only something that had those causal powers
could have that intentionality“. We do
not function as a computer does with algorithms which are only capable of
running and create the information of the next algorithm.
I believe
that Dr. Seale makes very valid explanations as to why machines running off of
formal processes can never be capable of intentionality. They can only simulate understanding because
the machine did not make the programs it uses and so has no real understanding
of the contents of the programs and know way of ever knowing them. Looking
back at the Chinese box, consider why the human did not retain any
intentionality about the Chinese language even though humans are fully capable
of intentionality. The algorithms did
not teach them anything that would aid in understanding the Chinese language. The million dollar question I think of when
considering this is how exactly do humans obtain intentionality about something? That is what is needed to know before any
human can possibly make a man-made machine do likewise.
In Dr. Seale’s definition of understanding, how do humans come to the
conclusion that they understand something?
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