A4 Artikkeli konferenssijulkaisussa
Bridging human and machine learning for the needs of collective intelligence development (2020)


Gavriushenko, M., Kaikova, O., & Terziyan, V. (2020). Bridging human and machine learning for the needs of collective intelligence development. In F. Longo, F. Qiao, & A. Padovano (Eds.), ISM 2019 : 1st International Conference on Industry 4.0 and Smart Manufacturing (pp. 302-306). Elsevier. Procedia Manufacturing, 42. https://doi.org/10.1016/j.promfg.2020.02.092


JYU-tekijät tai -toimittajat


Julkaisun tiedot

Julkaisun kaikki tekijät tai toimittajat: Gavriushenko, Mariia; Kaikova, Olena; Terziyan, Vagan

Emojulkaisu: ISM 2019 : 1st International Conference on Industry 4.0 and Smart Manufacturing

Emojulkaisun toimittajat: Longo, Francesco; Qiao, Feng; Padovano, Antonio

Konferenssi:

  • International Conference on Industry 4.0 and Smart Manufacturing

Konferenssin paikka ja aika: Rende, Cosenza, Italy, 20.-22.11.2019

Lehti tai sarja: Procedia Manufacturing

eISSN: 2351-9789

Julkaisuvuosi: 2020

Sarjan numero: 42

Artikkelin sivunumerot: 302-306

Kustantaja: Elsevier

Julkaisumaa: Alankomaat

Julkaisun kieli: englanti

DOI: https://doi.org/10.1016/j.promfg.2020.02.092

Julkaisun avoin saatavuus: Avoimesti saatavilla

Julkaisukanavan avoin saatavuus: Kokonaan avoin julkaisukanava

Julkaisu on rinnakkaistallennettu (JYX): https://jyx.jyu.fi/handle/123456789/68533


Tiivistelmä

There are no doubts that artificial and human intelligence enhance and complement each other. They are stronger together as a team of Collective (Collaborative) Intelligence. Both require training for personal development and high performance. However, the approaches to training (human vs. machine learning) are traditionally very different. If one needs efficient hybrid collective intelligence team, e.g. for managing processes within the Industry 4.0, then all the team members have to learn together. In this paper we point out the need for bridging the gap between the human and machine learning, so that some approaches used in machine learning will be useful for humans and vice-versa, some knowledge from human pedagogy can be useful also for training the artificial intelligence. When this happens, we all will come closer to the ultimate goal of creating a University for Everything capable of educating human and digital “workers” for the Industry 4.0. The paper also considers several thoughts on training digital assistants of the humans together in a team.
See presentation slides: https://ai.it.jyu.fi/ISM_2019_COLD.pptx


YSO-asiasanat: joukkoäly; tekoäly; koneoppiminen; teollisuus

Vapaat asiasanat: collective intelligence; industry 4.0; deep learning; university for everything; artificial intelligence


Liittyvät organisaatiot


OKM-raportointi: Kyllä

Raportointivuosi: 2020

JUFO-taso: 1


Viimeisin päivitys 2024-03-04 klo 21:26