Sociological and Biological Insights on How to Prevent the Reduction in Cognitive Activity that Stems from Robots Assuming Workloads in Human–Robot Cooperation

Compagna, Diego; Weidemann, Alexandra; Marquardt, Manuela; Graf, Philipp

doi:10.3390/soc6040029

Cited by 6 publications

(5 citation statements)

References 25 publications

(28 reference statements)

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“…This opinion article seeks to observe the emergence of what, potentially, will be a central concept in a very near future, that of Society 5.0 as "proposing to further the potential of the individual-technology relationship in fostering the enhancement of the quality of life of all people through a super smart society" (Serpa & Ferreira, 2018, para. 1) and which emerges, in part, as a (con)sequence of the implementation of the concept of Industry 4.0. and its impact (Shamim, Cang, Yu, & Li, 2017;Liao, Deschamps, Loures, & Ramos, 2017;Compagna, Weidemann, Marquardt, & Graf, 2016). This is an argumentative analysis, as a manuscript of positioning, which is based on a set of very recent publications, but which also has a prospective component, which always generates some indeterminacy.…”

Section: Introductionmentioning

confidence: 99%

Society 5.0 and Social Development: Contributions to a Discussion

Ferreira

Serpa²

2018

MOS

102

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This opinion article intends to address the emergence of what will, potentially, be a central concept in a very near future, that of Society 5.0, and that emerges politically as a (con)sequence of the implementation of the concept of Industry 4.0. By proposing a deepening of the potential of the individual-technology relationship in fostering the improvement of the quality of life of all people through a super-intelligent society, Society 5.0 is an extremely recent concept as a guide for social development and that can have a profound impact on societies at all levels, such as in terms of the quality of life and sustainability. This presentation is based on very recent publications, but it also has a prospective component, which always generates some indeterminacy and uncertainty. Also for this reason, this contribution seeks, above all, to help in this very urgent and necessary discussion. Keywords: society 5.0; industry 4.0; social development; sustainable innovation 2. Industry 4.0 Industry 4.0 is very often regarded as somehow a fourth industrial revolution due to the profound effects it brings

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Section: Introductionmentioning

confidence: 99%

Society 5.0 and Social Development: Contributions to a Discussion

Ferreira

Serpa²

2018

MOS

102

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“…Here, huge potential of these applications has been identified. However, the introduction and application of robots in the health care sector has been (controversially) discussed [25][26][27][28].…”

Section: Robots and Organization Of Work In Production Systemsmentioning

confidence: 99%

“…At the same time, the concept of "robot societies" [31] raises doubts and concerns about human-robot interaction (HRI) and its impact on societal evolution. Public and scientific debates show that ethical reflection on HRI goes hand in hand with these concerns [27,33,34]. This seems especially true for NBIC technologies, which pose risks and hazards, in particular, in the field of organic material manipulation.…”

Section: Robots and Organization Of Work In Production Systemsmentioning

confidence: 99%

“Manufacturing Life” in Real Work Processes? New Manufacturing Environments with Micro- and Nanorobotics

Moniz

Krings

2022

Nanoethics

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The convergence of nano-, bio-, information, and cognitive sciences and technologies (NBIC) is advancing continuously in many societal spheres. This also applies to the manufacturing sector, where technological transformations in robotics push the boundaries of human–machine interaction (HMI). Here, current technological advances in micro- and nanomanufacturing are accompanied by new socio-economic concepts for different sectors of the process industry. Although these developments are still ongoing, the blurring of the boundaries of HMI in processes at the micro- and nano- level can already be observed. According to the authors, these new socio-technical HMIs may lead to the development of new work environments, which can also have an impact on work organization. While there is still little empirical evidence, the following contribution focuses on the question whether the “manufacturing (or working) life” using enhancement practices pushes the boundaries of HMI and how these effects enable new modes of working in manufacturing. Issues of standardization, acceleration of processes, and order-oriented production become essential for technological innovation in this field. However, these trends tend to lead to a “manufacturing life” in work environments rather than to new modes of work in industry.

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“…However, excessive trust can lead as well to negative consequences. From the insights collected by Compagna et al [39] at the Fabrication Laboratory "MTI-engAge" at the Technical University of Berlin, the routinization of the cooperation between humans and agents in the workplace could pose a safety risk. The reduction of the cognitive tasks when humans work with a predictable agent could endanger the trust built over time.…”

Section: Evaluating Ai Through Cooperationmentioning

confidence: 99%

Shifting Perspectives on AI Evaluation: The Increasing Role of Ethics in Cooperation

Barbierato

Zamponi

2022

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Evaluating AI is a challenging task, as it requires an operative definition of intelligence and the metrics to quantify it, including amongst other factors economic drivers, depending on specific domains. From the viewpoint of AI basic research, the ability to play a game against a human has historically been adopted as a criterion of evaluation, as competition can be characterized by an algorithmic approach. Starting from the end of the 1990s, the deployment of sophisticated hardware identified a significant improvement in the ability of a machine to play and win popular games. In spite of the spectacular victory of IBM’s Deep Blue over Garry Kasparov, many objections still remain. This is due to the fact that it is not clear how this result can be applied to solve real-world problems or simulate human abilities, e.g., common sense, and also exhibit a form of generalized AI. An evaluation based uniquely on the capacity of playing games, even when enriched by the capability of learning complex rules without any human supervision, is bound to be unsatisfactory. As the internet has dramatically changed the cultural habits and social interaction of users, who continuously exchange information with intelligent agents, it is quite natural to consider cooperation as the next step in AI software evaluation. Although this concept has already been explored in the scientific literature in the fields of economics and mathematics, its consideration in AI is relatively recent and generally covers the study of cooperation between agents. This paper focuses on more complex problems involving heterogeneity (specifically, the cooperation between humans and software agents, or even robots), which are investigated by taking into account ethical issues occurring during attempts to achieve a common goal shared by both parties, with a possible result of either conflict or stalemate. The contribution of this research consists in identifying those factors (trust, autonomy, and cooperative learning) on which to base ethical guidelines in agent software programming, making cooperation a more suitable benchmark for AI applications.

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Sociological and Biological Insights on How to Prevent the Reduction in Cognitive Activity that Stems from Robots Assuming Workloads in Human–Robot Cooperation

Cited by 6 publications

References 25 publications

Society 5.0 and Social Development: Contributions to a Discussion

Society 5.0 and Social Development: Contributions to a Discussion

“Manufacturing Life” in Real Work Processes? New Manufacturing Environments with Micro- and Nanorobotics

Shifting Perspectives on AI Evaluation: The Increasing Role of Ethics in Cooperation

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