Axiomatic means taken for granted as an unquestioned, fundamental truth that requires no proof.
- Türkçe’de ise aksiyomatik ya da öz Türkçe olarak belit(sel) olarak ifade edilir. Yani bir olguyu kabul ederek, diğer argümanları bu kabulün üzerine kurarız. Yani sayıların varlığı belitseldir dedikten sonra çeşitli kümeleri bu kabül üzerinden ortaya koyarız.
Atlas of AI, Crawford 1
These mythologies are particularly strong in the field of artificial intelligence, where the belief that human intelligence can be formalized and reproduced by machines has been axiomatic since the mid-twentieth century. Just as Hans’s intelligence was considered to be like that of a human, fostered carefully like a child in elementary school, so AI systems have repeatedly been described as simple but humanlike forms of intelligence. In 1950, Alan Turing predicted that “at the end of the century the use of words and general educated opinion will have altered so much that one will be able to speak of machines thinking without expecting to be contradicted.”8 The mathematician John von Neumann claimed in 1958 that the human nervous system is “prima facie digital.”9 MIT professor Marvin Minsky once responded to the question of whether machines could think by saying, “Of course machines can think; we can think and we are ‘meat machines.’”10 But not everyone was convinced. Joseph Weizenbaum, early AI inventor and creator of the first chatbot program, known as elIZA, believed that the idea of humans as mere information processing systems is far too simplistic a notion of intelligence and that it drove the “perverse grand fantasy” that AI scientists could create a machine that learns “as a child does.”
In logic and mathematics, an axiom is a starting premise—a statement assumed to be true so that other arguments can be built on top of it. When something is described as axiomatic in a social or historical context, it means it has become an unexamined, self-evident baseline belief that people simply accept without asking for evidence.
How It Functions in the Paragraph
The text states that the belief that human intelligence can be formalized and reproduced by machines has been axiomatic in AI since the mid-20th century.
This means that early AI pioneers did not start their work by asking:
“Is human thought actually similar to computer code?”
Instead, they took that answer for granted. They treated the “human mind = machine” idea as an established fact (an axiom) and skipped straight to asking:
“How quickly can we build a machine to prove it?”
How the Paragraph Demonstrates This “Axiomatic” Mindset
The author uses historical quotes to illustrate just how deeply this unexamined assumption was baked into early AI culture:
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Alan Turing (1950): Assumed it was self-evident that we would eventually call machines “thinking” without debate.
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John von Neumann (1958): Directly asserted that the human nervous system is “digital” at its core.
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Marvin Minsky: Dismissed doubts by declaring humans are simply “meat machines,” so of course non-meat machines can think too.
By calling this belief axiomatic, the author points out that these founders treated a profound philosophical claim (that human consciousness is just information processing) as a settled baseline truth rather than a hypothesis that needed proving.
The Turning Point in the Text
The final lines introduce Joseph Weizenbaum (creator of ELIZA) to break this axiomatic spell. Weizenbaum stepped back and challenged the very axiom itself, calling the idea that humans are mere information-processing systems a “simplistic notion” and a “perverse grand fantasy.”