Inteligência artificial no contexto da teoria da auto-organização (problemas de colaboração homem-máquina)

Autores

DOI:

https://doi.org/10.23925/2179-3565.2025v16i3p05-12

Palavras-chave:

Inteligência Artificial, Teoria da auto-organização, Sistema complexo, Adaptabilidade, Emergência diacrônica, Lei de U. Ashby, Imperativos éticos, Colaboração biológica-silício

Resumo

O foco dos autores está no fenômeno da IA, que pode ser interpretado pela teoria da auto-organização como um sistema complexo. O artigo considera as principais características da IA, as formas e as possibilidades de seu desenvolvimento e treinamento, a integração na produção e os processos computacionais. No decorrer do estudo, os autores identificam padrões importantes da IA como um sistema adaptativo complexo: possibilidade de comportamento variável dependendo do nível e do volume de elementos, imprevisibilidade da tomada de decisões (propriedade de emergência). O artigo problematiza questões éticas relacionadas à capacidade de gerenciamento eficaz de sistemas complexos de IA, seu funcionamento correto e seguro.

Downloads

Não há dados estatísticos.

Biografia do Autor

Evgeniya Nikolaeva, Kazan (Volga region) Federal University

Department of General Philosophy

Mikhail Nikolaev, Kazan (Volga region) Federal University

Department of General and Ethnic sociology

Nataliya Soldatova, Kazan (Volga region) Federal University, Kazan National Research Technical University

Department of General Philosophy

Referências

Abramova, A.V, Ignatiev A.G., Panova M.S (2021). Etika v oblasti iskusstvennogo intellekta - Ot diskussii k nauchnomu obosnovaniyu i prakticheskomu primeneniyu: Analiticheskiy doklad [Ethics in the field of artificial intelligence - From discussion to scientific justification and practical application: Analytical report]. Moscow: MGIMO-University.

Aguirre, A. (2020). When will the first weakly general AI system be devised, tested, and publicly announced? Metaculus. https://www.metaculus.com/questions/3479/date-weakly-general-ai-is-publicly-known/

AI Alliance Russia. (2021). Kodeks etiki v sfere II [Code of ethics in the field of artificial intelligence]. https://ethics.a-ai.ru/

Ashby, R.W. (1962). Konstruktsiya mozga: Proiskhozhdeniye adaptivnogo povedeniya [Brain design: Origin of adaptive behavior]. Moscow: Izd-vo inostrannoy literatury.

Ashby, R.W. (2005). Vvedeniye v kibernetiku [An introduction to cybernetics]. Moscow: URSS; ComBook.

Gershenson, C. (2024). Complexity, artificial life, and artificial intelligence. Artificial Life, 1-15. https://doi.org/10.1162/artl_a_00462

Haken, H. (1988). Information and self-organization: A macroscopic approach to complex systems. Berlin: Springer Series in Synergetics.

Haken, H. (2004). Synergetic computers and cognition: A top-down approach to neural nets. Berlin: Springer & Business Media.

Isackson, P. (2024, October 14). Outside the box: Can AI–human “collaboratories” save the world? Fairobserver.

https://www.fairobserver.com/more/science/outside-the-box-can-ai-human-collaboratories-save-the-world/#

Kurnosova, T., Filippov, A. (2023). Iskusstvennyy intellekt, kak istochnik vozmozhnostey i ugroz ekonomicheskogo razvitiya [Artificial intelligence as a source of opportunities and threats for economic development]. Innovation and investment, 12, 498-503.

Medvedev, Yu. (2023). Iskusstvennyy intellekt vyuchil yazyk, kotoromu yego ne obuchali [Artificial intelligence learned a language it was not taught]. Rossiiskaia Gazeta [Ros. Gaz.] 18.04.2023. https://rg.ru/2023/04/18/iskusstvennyj-intellekt-vyuchil-iazyk-kotoromu-ego-ne-obuchali.html

Morin, E. (1980). La méthode, La vie de la vie. Tome 2: La Vie de la vie. Paris: Seuil.

Morin, E. (2000). Les sept savoirs nécessaires à l'éducation du future. Paris: Seuil.

Morin, E. (2001). L'humanité de l'humanité: l'identité humaine. La méthode - Tome 5. Paris: Seuil.

Morin, E. (2002). Le complexus, ce qui est tissé ensemble. In R. Benkirane (Dir.), La complexité, vertiges et promesses. Dix-huit histoires de sciences. Paris: Poche-Le Pommier.

Nakazaki, T. (2024, July 31). Data protection laws and regulations trends in AI governance in Japan 2024-2025. London: International Comparative Legal Guides. https://iclg.com/practice-areas/data-protection-laws-and-regulations/02-trends-in-ai-governance-in-japan

Pan, X., Dai, J., Fan, Y., Yang, M. (2024). Frontier AI systems have surpassed the self-replicating red line. New York: Ithaca. https://doi.org/10.48550/arXiv.2412.12140

Ping, G., Qian, Y. (2020). Synergetic learning systems: Concept, architecture, and algorithms. Neural and evolutionary computing. New York: Ithaca. http://dx.doi.org/10.48550/arXiv.2006.06367

Prigogine, I., Stengers, I. (1984). Order out of chaos man's new dialogue with nature. London: Heinemann.

Spitale, G., Biller-Andorno, N., Germani, F. (2023). AI model GPT-3 (dis)informs us better than humans. Science Advances, 9(26), eadh1850. https://doi.org/10.1126/sciadv.adh1850

Szczepański, M. (2019). Economic impacts of artificial intelligence (AI). EPRS - European Parliamentary Research Service. https://www.europarl.europa.eu/RegData/etudes/BRIE/2019/637967/EPRS_BRI(2019)637967_EN.pdf

United Nations Educational, Scientific and Cultural Organization [UNESCO]. (2022). Recommendation on the ethics of artificial intelligence. Paris: UNESCO. https://unesdoc.unesco.org/ark:/48223/pf0000381137

Wei, J., Tay, Y., Bommasani, R., Raffel, C., Zoph, B., Borgeaud, S., Yogatama, D., Bosma, M., Zhou, D., Metzler, D., Chi, E.H., Hashimoto, T., Vinyals, O., Liang, P., Dean, J., Fedus, W. (2022). Emergent abilities of large language models. New York: Ithaca. https://doi.org/10.48550/arXiv.2206.07682

Wilson, J.H., Daugherty, P.R. (2018). Collaborative intelligence: Humans and AI are joining forces. Massachusetts: Harvard Business School Publishing. https://hbr.org/2018/07/collaborative-intelligence-humans-and-ai-are-joining-forces

Yi, Z. (2019). Beijing artificial intelligence principles. International Research Center for AI Ethics and Governance. https://ai-ethics-and-governance.institute/beijing-artificial-intelligence-principles/ (accessed on February 15, 2025).

Downloads

Publicado

2025-10-22

Edição

v. 16 n. 3 (2025): Journal on Innovation and Sustainability

Seção

Artigos

Licença

Esta obra está licenciada sob uma licença Creative Commons Atribuição - No comercial - Sin derivaciones 4.0 Internacional

1.O(s) autor(es) autoriza(m) a publicação do artigo na revista;

2.O(s) autor(es) garante(m) que a contribuição é original e inédita e que não está em processo de avaliação em outra(s) revista(s);

3.A revista não se responsabiliza pelas opiniões, ideias e conceitos emitidos nos textos, por serem de inteira responsabilidade de seu(s) autor(es);

4.É reservado aos editores o direito de proceder ajustes textuais e de adequação do artigos às normas da publicação.

1.1 Copyright Statement 

This journal is licensed under a Creative Commons Attribution-Non Commercial-No Derivers 4.0 International license. 

1. The author (s) authorize the publication of the article in the journal; 

2. The author (s) warrant that the contribution is original and unpublished and is not in the process of being evaluated in other journal (s); 

3. The journal is not responsible for the opinions, ideas and concepts emitted in the texts, as they are the sole responsibility of its author (s);

4. The editors are entitled to make textual adjustments and to adapt the articles to the standards of publication.