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If you are here, it means that you are familiar with term artificial intelligence. Either you have read about it in school or have seen it in sci-fi movies or somewhere else. Talking about the limitations of AI, let me ask you one simple question first, do you know the definition of AI? You might be thinking to answer me with a yes, yes I know what is artificial intelligence. But what if I tell you that AI is a buzzword and it is almost impossible to properly define. It is this way because the definition of artificial intelligence is
moving. People don’t call the things AI that they used to call. For example, a
problem that seemed too complex to be solved by human and was solved
by AI algorithm is no longer a problem of AI. Playing chess, is one of the examples. It was considered the peek level of artificial intelligence back in previous century. Now it hardly fits the criteria for AI. It is presented to the world as a super power that when given to a computer, it magically starts living like other living things. It start thinking. Well, that's one side of the picture. AI has its own restrictions and limitations.
Artificial Intelligence today is solving problems
ranging from playing games against human players to assisting medical expert in diagnostics. (visit: 10 Powerful Examples Of Artificial Intelligence In Use Today.) We human are
using AI everywhere no matter if we are aware of it or not.
The dominance of big fishes in American tech market- Facebook, Amazon, Netflix,
Uber and Google versus the rise of Chinese tech giants: Baidu,
Alibaba, Tencent, has created fierce quest for resources and specialists. Yet, what are all of them racing towards? AI. Artificial Intelligence is the one thing, after military and financial power, which will decide which
country the next super power will be.
However, today's artificial
intelligence has certain limitations. It is not even near to the
pinnacle of automation where human are. AI that exists today, is too far from achieving
human level intelligence. Artificial Intelligence is compared with human intelligence because human is the most intelligent creature on
earth and the goal of AI is to at least reach to that level of intelligence if it is not to cross. Whether
it is a computer program describing a scene in a picture or an autonomous car driving automatically on busy roads and avoiding collision and pedestrians, AI always try
to mimic human intelligence.
Although, it is admissible that today's AI performs better and
often outperforms human intelligence for specific problem. For
example, in financing, AI comes with better forecasting and decision.
AI is helping experts in almost all walks of life including medical,
military, business and law. But as far as generalization is
concerned, it will take it no less that 50 years to achieve human
level intelligence.
By generalization I mean human mind is a single organ, it learns
from experiencing different situations. But a single AI model or
algorithm can learn from only one kind of data. For example, an
algorithm that has learned to identify vehicles in an image will fail
to identify animals. Although, it could be trained on mixed data
including both animals and vehicles but it would never outperforms
human mind in that area.
Another biggest limitation of AI is that it learns from data. There is no other way for AI power machine to gain knowledge, unlike human learning. AI performs better than human only in those cases
where enormous amount of data is available. It fails where
creativity, critical thinking and logical reasoning is involved. Any AI machine would always be a machine
which will do the job it is told to do. It can’t figure out how to
solve a problem it has never seen before.
The reason for failure of AI at general problems is that human
mind has a modular structure. Each section or module in human brain is responsible for different functions. For example, frontal lobe of human brain is responsible for speaking while occipital lobe is more concerned with vision. Deep learning and machine learning model lack this feature of modularity. One model is almost similar to a single module in human brain. Another reason for AI failing to reach human level intelligence is that human brain is the most complex structure in the universe. AI models have not gone that complex until today.
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