
This work is licensed under a Creative Commons Attribution 4.0 International License.
Artificial Intelligence that Exists in the Human Mind
Corresponding Author(s) : Muhamad Fabio
International Transactions on Artificial Intelligence,
Vol. 1 No. 1 (2022): International Transactions on Artificial Intelligence
Abstract
This article asserts that some general AIs are incomprehensible to humans and that computers are innately incapable of performing certain human cognitive activities, including 1) Misconceptions of Godel's theorem and related statistics and mathematical results are at the root of objections to using AI; 2) Reductionism and objections to monistic reductionism, as well as a minimal appreciation of responses to different levels of discussion; 3) Concerns raised by a thorough understanding of computers or computing Developing a model in which "cognitive" functions can be created independently and referred to as "wetware" is pragmatic, according to a psychologist. The cognitive and essential assumptions for individuals involved in the usefulness of AI are pragmatic. From this point of view, AI is heavily invested in the future of cognitive psychology, if only because of their similar fate.
Keywords
- C. Zhang and Y. Lu, “Study on artificial intelligence: The state of the art and future prospects,” J. Ind. Inf. Integr., vol. 23, p. 100224, 2021.
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- B. Shneiderman, “Human-centered artificial intelligence: Reliable, safe & trustworthy,” Int. J. Human–Computer Interact., vol. 36, no. 6, pp. 495–504, 2020.
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- B. W. Wirtz, J. C. Weyerer, and C. Geyer, “Artificial intelligence and the public sector—applications and challenges,” Int. J. Public Adm., vol. 42, no. 7, pp. 596–615, 2019.
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- K. D. Stephan and G. Klima, “Artificial intelligence and its natural limits,” AI Soc., vol. 36, no. 1, pp. 9–18, 2021.
- I. N. Mseer, “Ethics of Artificial Intelligence and the Spirit of Humanity,” in The Fourth Industrial Revolution: Implementation of Artificial Intelligence for Growing Business Success, Springer, 2021, pp. 327–340.
- H. L. J. van der Maas, L. Snoek, and C. E. Stevenson, “How much intelligence is there in artificial intelligence? A 2020 update,” Intelligence, vol. 87, p. 101548, 2021.
- M. Elbadawi et al., “Harnessing artificial intelligence for the next generation of 3D printed medicines,” Adv. Drug Deliv. Rev., vol. 175, p. 113805, 2021.
- Y. Li and O. Hilliges, Artificial Intelligence for Human Computer Interaction: A Modern Approach. Springer, 2021.
- H. S. Lee and J. Lee, “Applying artificial intelligence in physical education and future perspectives,” Sustainability, vol. 13, no. 1, p. 351, 2021.
- U. Rahardja, Q. Aini, H. D. Ariessanti, and A. Khoirunisa, “Pengaruh Gamifikasi pada iDu (iLearning Education) dalam Meningkatkan Motivasi Belajar Mahasiswa,” NJCA (Nusantara J. Comput. Its Appl., vol. 3, no. 2, pp. 120–124, 2018.
- H. Kong, Y. Yuan, Y. Baruch, N. Bu, X. Jiang, and K. Wang, “Influences of artificial intelligence (AI) awareness on career competency and job burnout,” Int. J. Contemp. Hosp. Manag., 2021.
- A. Arslan, C. Cooper, Z. Khan, I. Golgeci, and I. Ali, “Artificial intelligence and human workers interaction at team level: a conceptual assessment of the challenges and potential HRM strategies,” Int. J. Manpow., 2021.
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References
C. Zhang and Y. Lu, “Study on artificial intelligence: The state of the art and future prospects,” J. Ind. Inf. Integr., vol. 23, p. 100224, 2021.
A. Holzinger, G. Langs, H. Denk, K. Zatloukal, and H. Müller, “Causability and explainability of artificial intelligence in medicine,” Wiley Interdiscip. Rev. Data Min. Knowl. Discov., vol. 9, no. 4, p. e1312, 2019.
R. Vaishya, M. Javaid, I. H. Khan, and A. Haleem, “Artificial Intelligence (AI) applications for COVID-19 pandemic,” Diabetes Metab. Syndr. Clin. Res. Rev., vol. 14, no. 4, pp. 337–339, 2020.
M. Haenlein and A. Kaplan, “A brief history of artificial intelligence: On the past, present, and future of artificial intelligence,” Calif. Manage. Rev., vol. 61, no. 4, pp. 5–14, 2019.
L. Chen, P. Chen, and Z. Lin, “Artificial intelligence in education: A review,” Ieee Access, vol. 8, pp. 75264–75278, 2020.
B. Shneiderman, “Human-centered artificial intelligence: Reliable, safe & trustworthy,” Int. J. Human–Computer Interact., vol. 36, no. 6, pp. 495–504, 2020.
K. Jarek and G. Mazurek, “Marketing and Artificial Intelligence.,” Cent. Eur. Bus. Rev., vol. 8, no. 2, 2019.
R. B. Parikh, S. Teeple, and A. S. Navathe, “Addressing bias in artificial intelligence in health care,” Jama, vol. 322, no. 24, pp. 2377–2378, 2019.
B. W. Wirtz, J. C. Weyerer, and C. Geyer, “Artificial intelligence and the public sector—applications and challenges,” Int. J. Public Adm., vol. 42, no. 7, pp. 596–615, 2019.
U. Schmidt-Erfurth, A. Sadeghipour, B. S. Gerendas, S. M. Waldstein, and H. Bogunović, “Artificial intelligence in retina,” Prog. Retin. Eye Res., vol. 67, pp. 1–29, 2018.
U. Rahardja and E. P. Harahap, “Implementation of Information Planning and Strategies Industrial Technology 4.0 to Improve Business Intelligence Performance on Official Site APTISI,” in Journal of Physics: Conference Series, 2019, vol. 1179, no. 1, p. 12111.
U. Rahardja, Q. Aini, and A. Khoirunisa, “The Effect of Rinfogroups as a Discussion Media in Student Learning Motivation,” Aptisi Trans. Manag., vol. 2, no. 1, pp. 79–88, 2018.
M. J. Iqbal et al., “Clinical applications of artificial intelligence and machine learning in cancer diagnosis: Looking into the future,” Cancer Cell Int., vol. 21, no. 1, pp. 1–11, 2021.
K. D. Stephan and G. Klima, “Artificial intelligence and its natural limits,” AI Soc., vol. 36, no. 1, pp. 9–18, 2021.
I. N. Mseer, “Ethics of Artificial Intelligence and the Spirit of Humanity,” in The Fourth Industrial Revolution: Implementation of Artificial Intelligence for Growing Business Success, Springer, 2021, pp. 327–340.
H. L. J. van der Maas, L. Snoek, and C. E. Stevenson, “How much intelligence is there in artificial intelligence? A 2020 update,” Intelligence, vol. 87, p. 101548, 2021.
M. Elbadawi et al., “Harnessing artificial intelligence for the next generation of 3D printed medicines,” Adv. Drug Deliv. Rev., vol. 175, p. 113805, 2021.
Y. Li and O. Hilliges, Artificial Intelligence for Human Computer Interaction: A Modern Approach. Springer, 2021.
H. S. Lee and J. Lee, “Applying artificial intelligence in physical education and future perspectives,” Sustainability, vol. 13, no. 1, p. 351, 2021.
U. Rahardja, Q. Aini, H. D. Ariessanti, and A. Khoirunisa, “Pengaruh Gamifikasi pada iDu (iLearning Education) dalam Meningkatkan Motivasi Belajar Mahasiswa,” NJCA (Nusantara J. Comput. Its Appl., vol. 3, no. 2, pp. 120–124, 2018.
H. Kong, Y. Yuan, Y. Baruch, N. Bu, X. Jiang, and K. Wang, “Influences of artificial intelligence (AI) awareness on career competency and job burnout,” Int. J. Contemp. Hosp. Manag., 2021.
A. Arslan, C. Cooper, Z. Khan, I. Golgeci, and I. Ali, “Artificial intelligence and human workers interaction at team level: a conceptual assessment of the challenges and potential HRM strategies,” Int. J. Manpow., 2021.
J. M. Packard, L. J. Folse, N. D. Stone, M. E. Makela, and R. N. Coulson, “Applications of artificial intelligence to animal behavior,” in Interpretation and explanation in the study of animal behavior, Routledge, 2021, pp. 147–191.