Thoughts on Artificial Intelligence for Teachers

Authors

  • GYARMATI G. Péter

Keywords:

artificial intelligence, machine learning, human intelligence, formal logic, automated decision-making, danger

Abstract

In this lecture, we approach from a new aspect the sources and the expected development of artificial intelligence. Our starting point is still human creation, which is driven by common sense, the striving for omnipotence of power, and the unlimited nature of the capitalist economy. Artificial intelligence is based on the anthropomorphic model according to the current state of science, i.e., it tries to imitate human thinking and behavior. The basis of human intelligence is the human brain, and the computer for artificial intelligence. People organize themselves into societies according to rules and morality. Common sense contradicts the need to provide machines with such self-organizing ability, and human goals do not require it. This performance tries to explore the difference and possible convergence of the two intelligences. At the same time, it always establishes the superiority and responsibility of man. The unethical, the destruction, is caused by man, the power, even if it is done by machines with intelligence.

References

1. McCarthy, J., Minsky, M., Rochester, N., Shannon, C.: "A Proposal for the Dartmouth Summer Research Project on Artificial Intelligence" (1955).

2. http://www-formal.stanford.edu/jmc/history/dartmouth/dartmouth.html. Retrieved 30 August 2007.

3. https://gyarmati.eu

4. https://nrich.maths.org

5. https://www.superhuman.ai/c/confirmation

6. https://hspublishing.org/JRECS/article/view/133

7. http://www.sciencepg.org/article/10.11648/j.ijiis.20221105.11

8. https://hspublishing.org/JRECS/article/view/168

9. https://hspublishing.org/JRECS/article/view/283

10. Gyarmati Peter, G. (2023): Szilánkok. TCC Computer Studio, Wien.

11. https://gyarmati.eu/publikaciok/MI-1-en.pdf

12. https://gyarmati.eu/publikaciok/MI-2-en.pdf

13. https://gyarmati.eu/publikaciok/JRECS-168.pdf

14. https://gyarmati.eu/publikaciok/JRECS-283.pdf

15. https://www.kpluszf.com/assets/docs/MI/MI_2024_1_047_Gyarmati_Mezo.pdf

16. Challoner, Jack (2000): The Brain. MacMillan, New York.

17. Neumann, John Von (1965): Selected Papers.KJK, Budapest. 114-115.

18. Pólya George (1963): Mathematical Methods in Natural Sciences. MAA, Stanford.

19. Stanford Encyclopedia of Philosophy: Artificial Intelligence. https://plato.stanford.edu/archives/fall2 022/ entries/artificial-intelligence/

20. Szentgyörgyi Albert (1988): Selected Papers. Gondolat. Budapest.

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Published

2026-10-15