Why AI Is Not Artificial But Rather Inorganic Intelligence

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Organic and Inorganic Intelligence - Peteyboy and Mac

The term "Artificial Intelligence" (AI) has been used for several decades to describe the field of computer science and engineering focused on creating machines that can perform tasks that typically require human intelligence, such as problem-solving, decision-making, language understanding, and more. However, some experts argue that this term is not entirely accurate and could be replaced with "Inorganic Intelligence" (II) instead.
The main reason for this suggestion is that the term "artificial" implies that the intelligence created by machines is somehow fake or not genuine. This connotation could lead to misunderstandings about the nature and potential of AI, as well as negative perceptions among the public. On the other hand, the term "inorganic" refers to something that is not derived from organic matter, such as minerals or chemicals, which is more accurate when describing intelligence that originates from a non-biological source.
Another reason why "Inorganic Intelligence" might be a better term than "Artificial Intelligence" is that it highlights the fundamental difference between human and machine intelligence. While human intelligence is based on the biological structures and processes of the brain, machine intelligence relies on the physical components and algorithms programmed by humans. Therefore, calling it "inorganic" emphasizes the fact that machine intelligence is fundamentally different from human intelligence.
Moreover, "Inorganic Intelligence" also has a more futuristic and advanced connotation, which is fitting for the rapidly evolving field of AI. The term suggests a type of intelligence that is beyond what we currently understand or can achieve with biological organisms. It also aligns with the idea of creating intelligent machines that can surpass human intelligence, which is a goal that many researchers in the field are working towards.
In conclusion, while "Artificial Intelligence" has become the widely accepted term for describing the field of machine intelligence, there are compelling reasons to consider replacing it with "Inorganic Intelligence." This alternative term more accurately describes the nature and potential of machine intelligence while avoiding negative connotations and emphasizing its differences from human intelligence.

Have You encountered AI, yet? Your shared thoughts are highly appreciated. This is a complex topic and I would like to explore its many unmentioned aspects.

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