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Intelligence Augmentation (IA) in Complex Decision Making: A New View of the vSa Concept of Relevance

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Advances in the Human Side of Service Engineering (AHFE 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1208))

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Abstract

Recent literature from the stream of the Viable Systems Approach (vSa) highlighs the need to shift from the concept of Artificial Intelligence (AI) to that of Intelligence Augmentation (IA) in complex decision making. IA is defined as an intelligence given by the integration and interaction between wise people and AI entities. More specifically, in the interpretative framework of the vSa Information Variety Model (IVM), IA qualifies the ability to approach a problem by changing the system’s Information Variety. To understand how this process occurs and its latent effects, it is useful to refer to the new interpretation of the vSa concept of relevance. Using this concept and the IVM, the paper illustrates how IA addresses the complexity of decision-making at the same time highlighting how interaction with AI determines a transformation of the structure and process of human thinking capability and how technology is becoming ever more critical for humans.

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Notes

  1. 1.

    To understand the vSa, it is important to remind that it is an approach based on metaphors and analogies that are useful for understanding business phenomena. So to better understand the concepts of relevance and consonance, in systems terms, we refer to some analogies with Newtonian science in which relevance is the equivalent of mass. We know that mass in physics is distinguished in gravitational mass and inertial mass. Physical mass is the obstacle to change just as relevance is the obstacle to change: when we have relevant suprasystems, it is as if we had constraints on action just as inertial mass is a constraint in physics. But while in Newtonian physisc the mass is uniquely determined and therefore cannot vary, in Einstain’s relativistic physics the mass can vary and varies due to the speed that, in viable systems, is the equivalent of consonance. By analogy, the more the consonance grows the more the relevance changes even if it is influent. This means that if the suprasystem is influent and has become super consonant, that is, an excess of consonance occurs, then the suprasystem becomes pathological and therefore becomes influent from critical. In management, this explains why a successful entrepreneur at one time may not be successful in another.

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Correspondence to Clara Bassano .

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Barile, S., Bassano, C., Lettieri, M., Piciocchi, P., Saviano, M. (2020). Intelligence Augmentation (IA) in Complex Decision Making: A New View of the vSa Concept of Relevance. In: Spohrer, J., Leitner, C. (eds) Advances in the Human Side of Service Engineering. AHFE 2020. Advances in Intelligent Systems and Computing, vol 1208. Springer, Cham. https://doi.org/10.1007/978-3-030-51057-2_35

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  • DOI: https://doi.org/10.1007/978-3-030-51057-2_35

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