(Great article on Artificial Intelligence (AI) for basic understanding. Computers can perform Artificial Narrow Intelligence (ANI), such as specific jobs of cleaning robots, or car manufacturing robots, but author argues that computers will never learn Artificial General Intelligence (AGI) identical to humans because they do not have the experience of living in human society and acquiring human wisdom and experience. Computers utilizes only correlations to solve a problem, but humans utilize both correlations and causative reasons to reach a conclusion, especially in AGI. AI has made great leaps in correlations and probability, but still lacks in utilizing causative reasoning. f.sheikh)
“I shall start with Dreyfus’ main argument that AGI cannot be realized. Then I shall give a short account of the development of AI research after his book was published. Some spectacular breakthroughs have been used to support the claim that AGI is realizable within the next few decades, but I will show that very little has been achieved in the realization of AGI. I will then argue that it is not just a question of time, that what has not been realized sooner, will be realized later. On the contrary, I argue that the goal cannot in principle be realized, and that the project is a dead end. In the second part of the paper I restrict myself to arguing that causal knowledge is an important part of humanlike intelligence, and that computers cannot handle causality because they cannot intervene in the world. More generally, AGI cannot be realized because computers are not in the world. As long as computers do not grow up, belong to a culture, and act in the world, they will never acquire human-like intelligence.
Finally, I will argue that the belief that AGI can be realized is harmful. If the power of technology is overestimated and human skills are underestimated, the result will in many cases be that we replace something that works well with something that is inferior.”