Artificial Intelligence – Pros and Cons
ABSTRACT
On one hand, in recent years, Artificial Intelligence (AI) has grown from small-scale laboratory science into technological and industrial success. Basic research in AI has expanded enormously during this period. In the last fifty years, AI has demonstrated that #intelligence requires more than the #ability to #reason. It also requires a great deal of #knowledge about the world. The ultimate goal of AI is the construction of programs that solve hard #problems. Previously, most AI programs are written in #LISP, #PROLOG, or some specified AI shell but now they are being written in a wide variety of programming languages as AI has spread in the mainstream #computing world. On the other hand, by far the greatest danger of AI is that people conclude too early that they understand it. The problem seems to be unusually acute in Artificial Intelligence. The field of #AI has a reputation for making huge promises and then failing to deliver on them. Actually, AI is not hard, but for some reason, it is very easy for people to think they know far more about Artificial Intelligence than they actually do.
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CONCLUSIONS