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Aritifical Intelligence - The Future and Now
Artificial
intelligence is a highly fascinating subject that revolves around the
quest for humans through engineering and/or programming, to create an
intelligence that is indistinguishable from conscious life. It is
defined technically as 'the study and design of intelligent agents',
with the agent being a system that can perceive its environment or
some form of input and respond accordingly. The concept here is that
the aspects that make up human intelligence is so well understood
that it can be directly duplicated by a programme or machine. However
this is neglecting the fact that human brain is far from completely
understood and that we are discovering new things about it all the
time - such as its 'plasticity', I.e. it's ability to change shape in
response to our behaviour. Thus there have so far been no successful
examples of artificial intelligence proper, though there are crude
forms that 'mimic' human behaviour in response to the correct input
and stimuli, such as the AI used in computer games to control
computer players.
Basic
artificial intelligence then is used to mimic human behaviour and in
computers to automate various numerical tasks, though these all are
based on an 'input/output' basis. True artificial
intelligence
would be able to engage in conversation, come up with entirely new
concepts, learn, write essays and novels and make scientific
breakthroughs. Through being part of a machine,
artificial
intelligence would also have the added ability of being able to
'programme' itself and thus expand its own abilities. At the same
time it would not be limited by time, or by processing power (it
would most likely use the 'cloud' - millions of connected computers
across a network such as the internet). If a computer or a programme
could do this, and could envision new ways to improve its own
cognitive ability, it could rapidly overtake human thinking and could
lead to numerous breakthroughs as its intelligence grew
exponentially. It could this way lead to an explosion in the quality
of our technology far faster and more impressive than any we have
thus far been used to. At the same time it could duplicate itself
endlessly and perform infinite tasks simultaneously. It would be able
to perform many - in fact most - human jobs for us, and would perhaps
make us almost obsolete. Of course there is the fear - echoed in many
science fiction stories - that such artificial intelligence would not
be friendly. Though if it were to remain in our control, it could
very well bring about a golden age or a modern utopia, which is often
referred to as the 'technological singularity'.
The
earliest concepts of 'thinking machines' existed in Greek myths such
as Talos of Crete, the golden robots of Hephaestus and others. This
was quite a forward thinking concept seeing that it was long before
the existence of computers when machines had nothing resembling
human intelligence. Many ancient cultures mistakenly believed
that objects that bore likeness to the human form would be imbue with
intelligence and thus animated statues and automated humanoid figures
were constructed in ancient Egypt and Greece. In the 19th
century stories such as Frankenstein and others features artificial
beings popularly. This continued until the 20th
century
where the development of computers gave more understanding to how
artificial intelligence might work. It was mathematician Alan Turing
who used the laws of 'formal' reasoning (logic) to deduce that a
computer could use just two symbols (which would be '0' and '1') in
order to simulate any other mathematical deduction. This lead to the
development of binary and computers, and along with breakthroughs in
neurology and cybernetics, this lead to the serious consideration
that a computer could simulate human thought precisely. This was
further encouraged by cognitive theories of psychology that were
explaining the human mind as working very much as a computer would.

This
lead to many successes and much funding for research into AI. And
that lead to the development of 'Expert Systems' used to mimic the
knowledge of one or several experts in a field, and to AI systems
controlling everything from mining procedures, to car assembly to
difficult surgical operations. However all of these still only mimic
intelligence rather than providing true consciousness for machines.
There are many reasons that this has so far failed, and many problems
facing AI research.
The
first is that much of our learning and intelligence comes from our
ability to interact with the world around us. We developed
intelligence because we witnessed the actions and reactions in the
real world and learned how to bring about desired effects. A
programme in a computer however has no 'sandbox' to play in and no
way to experiment with cause and effect. Of course one way to get
around this problem is to put a machine in a robotic body, but
unfortunately limitations in cybernetics cause machines to have far
less of a wealth of experience as they cannot manipulate and interact
with the environment in the same way without falling over or getting
stuck, and don't have the same wealth of sensory information. At the
same time, even if they could, they would have to exist and interact
the world for a large duration of time in order to have the wealth of
experience necessary to be 'intelligent'. Already this limits the
vast abilities that AI could potentially feature listed above. It
would seem then that a computer intelligence would have to work in a
very different way, and to be able to think of itself as a machine,
and as a programme, and to get its input from our
hard drives
and the internet. Alternatively they could just exist in their 'own
mind' and experiment with mathematical equations with no need for
understanding the outside world. But would an intelligence that
worked so differently be vastly useful to us?
It
is also difficult to know how much of the information that an
artificial intelligence device should come pre-installed with. It
seems that humans have some basic foundations for learning built in
from birth - such as the ability to recognise faces, and the ability
to develop language (Chomsky's theory of a language acquisition
device in our brains). It is hard to know what abilities to program
into a computer from the start, and what to give it as a point of
reference. If you include too much information in the actual
programming rather than letting it learn it, then it will only be
able to learn specific kinds of things rather than
being able
to adapt to the situation as true intelligence does. Without preset
concepts though it can have no point of reference and will not be
able to conceptualise anything else. How humans grasp these concepts
is not understood.
Another
problem is that consciousness requires self awareness, and to be
aware of itself not only physically, but also psychologically and to
be aware of its own thoughts and to analyse and change these. However
human mind can also step back and be aware of its own awareness, in
an endless cycle, which seems like an impossible paradox to programme
into a computer. One of the very largest problems with creating
consciousness however is the simple fact that we don't really yet
know what consciousness is and this is a fierce
debate among
philosophers. How can you recreate something if you don't know what
it is?
Thus
true machine intelligence and consciousness is a long way from being
realised. However when we do see it it is likely to come in a form
very different from what we imagine it - it likely won't be a
programme you type to talk to, and it won't be a robot. It may very
well though also change the world within days of its creation if it
can truly learn and programme itself, and is likely to exist using
some of the things we are building now such as the internet in order
to be able to access the necessary processing power by existing on
multiple machines, and to be able to have access to the vast
reservoir of knowledge and information that has been created this
way. By looking at the current progress of computers and the speed at
which their processing power has thus far been progressing it is
predicted that the desktop computer will have the same raw processing
power as the human brain by 2029. The storage capacity of the human
brain has already been estimated at being around 10 terabytes, which
is not completely unachievable at all.
Before
artificial intelligence is born at all though, it is likely that the
concepts will be used to augment human
intelligence in a form
of 'exo cortex'. It is interesting to note that our interaction with
technology has actually shaped our evolution and vice
versa,
and this could well be the next step in human evolution and the
beginning of Tran humanism.
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