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ERGONOMICS: THE POSSIBILITIES OF AI, ZKP AND ML

Authors: Dziatkovskii A.;

ERGONOMICS: THE POSSIBILITIES OF AI, ZKP AND ML

Abstract

References: 1. Artificial Intelligence in Education: Changing the pace of learning (2020). Analitich-eskaya zapiska IITO YuNESKO / Stiven Duggen; red. S.Yu. Knyazeva; per. s angl.: A.V. Par-shakova. Moskva : Institut YuNESKO po informacionny`m texnologiyam v obrazovanii. 2. Dziatkovskii, A. Artificial intelligence and blockchain interaction in the context of inclu-sive education// Proceedings of the XXXVI International Multidisciplinary Conference «Recent Scientific Investigation». Primedia E-launch LLC. Shawnee, USA. 2022. DOI:10.32743/UsaConf.2022.9.36.344687 3. Dziatkovskii, A. Education through the lens of blockchain and vice versa // Journal of Modern Education Review (ISSN 2155-7993, USA), Academic Star Publishing Company, 2021, Issue 6. 4. Kim, W.; Peternel, L.; Lorenzini, M.; Babič, J.; Ajoudani, A. (2021). A Human–Robot Collaboration Framework for Improving Ergonomics During Dexterous Operation of Power Tools. Robotics and Computer-Integrated Manufacturing. Elsevier. 68: 102084. doi:10.1016/j.rcim.2020.102084. ISSN 0736-5845. 5. Lee, J.D.; Wickens, C.D.; Liu Y.; Boyle, L.N (2017). Designing for People: An introduc-tion to human factors engineering, 3nd Edition. Charleston, SC: CreateSpace. ISBN 9781539808008. 6. Peternel, L.; Schøn, D.; Fang, Ch. (2021). Binary and Hybrid Work-Condition Maps for Interactive Exploration of Ergonomic Human Arm Postures. Frontiers in Neurorobotics. Fron-tiers. 14: 114. 7. Steering AI and Advanced ICTs for Knowledge Societies. A Rights, Openness, Access, and Multi-stareholder Perspective (2019). UNESCO 372132eng.pdf (unesco.de) 8. Vinuesa, R., Azizpour, H., Leite, I. et al. The role of artificial intelligence in achieving the Sustainable Development Goals. Nat Commun 11, 233 (2020). https://doi.org/10.1038/s41467-019-14108-y

Abstract The directions of changes in ergonomics, which accompany the inclusion of artificial intelligence in the "human-machine" system, are considered. The problems of "weak" and "strong" artificial intelligence in ergonomics are presented.

Keywords

ergonomics, artificial intelligence, Zero-knowledge proof, problems

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
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