A precursory article that explains various categorizations of artificial intelligence, some real-life examples and concepts. - artificialintelligence machinelearning
You can obviously doubt why we call these solutions “Weak AI” although the magnitude of the problem they solve is huge and they are derived out of complex algorithmic computations. The reason is that they are still very distant from actual human intelligence. They are deprived of the capacity to think of themselves to solve an actual problem instead, most of the problems and corresponding solutions are coded to their artificial intelligence in a patterned way using various algorithms.
Although the lack of understanding of real-life surroundings is considered a limitation of Narrow AI, we must accept its positive side such as the speed that it can provide while solving a problem that a human cannot even think of. They can automate various mundane tasks, give insights about various data and sometimes acts as a helper in various decision-making activities.
Still, human intelligence is considered superior to Strong AI because humans can strategize plans and creatively think about new ideas, and our thoughts and decision-making ability exponentially grow with the experience while interacting with this universe on a daily basis. These aspects of human intelligence are not yet replicated by Strong AI machines.
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