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Claus Michael Sattler

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Claus Michael Sattler - Why artificial intelligence is not intelligent!

www.cmsattler.de - Warum Künstliche Intelligenz nicht intelligent ist!

Artificial intelligence (AI) has grown enormously in importance in recent years and is being used in various fields, from medicine to finance, from journalists to lawyers. But despite its name and its far-reaching application possibilities, there are arguments that AI is not really intelligent.

AI is based on statistics and stochastics

A fundamental characteristic of AI is its dependence on statistical models and stochastic processes. These models enable machines to recognize patterns in data and make predictions. But these predictions are based solely on statistical probabilities and are not the result of real understanding or awareness.

Lack of real understanding

While AI is capable of solving complex problems and mimicking human-like behaviors, it lacks a deeper understanding of the world around it. It cannot grasp any real meaning behind the data and has no awareness of the context in which it works.

Lack of creativity and emotional understanding

One of the most striking characteristics of human intelligence is its capacity for creativity and emotional understanding. AI systems can recognize patterns and generate solutions, but they are not able to be truly creative or understand emotions. Everything they do is based on pre-programmed algorithms.

Limited adaptability

While AI systems can learn and adapt to new data, their ability to adapt is limited. They can only learn what they have been programmed for and cannot spontaneously adapt to new situations or understand abstract concepts.


Despite its far-reaching application possibilities and its ability to solve complex problems, artificial intelligence is not intelligent in the true sense of the word. It is based on statistical models and stochastic processes that do not reflect any real intelligence or understanding of the world around them.


  • Müller, V. C. (2019). “Artificial Intelligence: A Guide for Thinking Humans.” Farrar, Straus and Giroux.
  • Marcus, G. (2018). “Deep Learning: A Critical Appraisal.” arXiv preprint arXiv:1801.00631.
  • Russell, S., & Norvig, P. (2016). “Artificial Intelligence: A Modern Approach.” Pearson.

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Claus Michael Sattler
(Master Craftsman / Business Economist)

P.O.-Box 1142
28833 Weyhe

Telephone: 0049 (174) 6031377
Email: cmsattler@cmsattler.de


Diploma in Economics and Sinology
Renate Sattler
HKUST-Kellogg-EMBA (Hong Kong University of Science and Technology)

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