The concept of AI is a relatively new concept that is being used with increasing frequency. The importance of this concept has to do in general with the increased capacity of what we understand as intelligence. However, it is a delicate concept and easy to misuse and / or misinterpret. This requires a good understanding of what AI is, what it is based on or should be based on and its forms of practical operation.
I would like to make a point regarding the difference between IA and IAE. AI in general is thought of as a program or machine capable of answering difficult questions by generating relationships related to the question within large relational databases. This, in general, leads to obtaining results about which it is not clear how they were obtained (what was the "reasoning" behind). This, in the long term, can bring important problems of understanding and dependency. Ultimately, we would be obeying a machine based on its eventual high predictive capacity. But, in this case, who is really the decision-maker and who is the operator?
AHP, ANP, COMPATIBILITY INDEX G, SEMIOLOGY, AI, AEI
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