Artificial Intelligence and Sociotechnical Systems
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Artificial Intelligence and Sociotechnical Systems
The Discovery of artificial intelligence (AI) and sociotechnical systems has significantly impacted today’s manufacturing sector. Researchers indicate that artificial intelligence and sociotechnical systems in communities or society have been perceived as prospects of generating superintelligence that can convert people into paperclips used in the manufacturing sector to increase production (Sartori & Theodorou, 2022). This paper focuses on a discussion on artificial intelligence and sociotechnical system in relation to the manufacturing industry.
The development of artificial intelligence and sociotechnical systems has resulted from effective interaction between the AI and the social sciences that has contributed to the emergence of socio-beneficial systems widely used in the manufacturing sector (Oosthuizen & Wout, 2022). Research indicates that sociotechnical theory has the basis of its core ideology that the design and performance of a manufacturing organizational system can be well understood and enhanced. If technical and social aspects are combined and handled as interdependent elements of the complex system. Artificial intelligence and sociotechnical systems have significantly impacted the manufacturing sector since it primarily focuses on optimizing the organizational/technological design systems by considering people’s interaction with the technology in different environments. This is based on Fred Emery and Eric Trist, the founders of sociotechnical strategies aimed at improving efficiency and productivity since manufacturing without technology was not meeting expectations (Bednar & Welch, 2020).
Due to the close association of artificial intelligence with the socio-benefit systems, it has been perceived as a complex sociotechnical system that comprises or incorporates people working in a social structure like in the manufacturing sector through the utilization of technology (Oosthuizen & Wout, 2022). And as a result, it has facilitated successful system behavior in the manufacturing industry and increased production. As predicted by sociotechnical theory, system-level interactions in the manufacturing sector have had a performance impact through hypothesized microsystems within the organization.
References
Bednar, P. M., & Welch, C. (2020). Sociotechnical perspectives on smart working: Creating meaningful and sustainable systems. Information Systems Frontiers, 22(2), 281-298.
Oosthuizen, D., & Wout, C. (2022). Static1.squarespace.com. Retrieved 7 September 2022, from https://static1.squarespace.com/static/53bad224e4b013a11d687e40/t/5dc4168b6b63dd51c92244f9/1573131916140/24th_ICCRTS_paper_12.pdf.
Sartori, L., & Theodorou, A. (2022). A sociotechnical perspective for the future of AI: narratives, inequalities, and human control. Ethics and Information Technology, 24(1), 1-11.
