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  1. Bosses without a heart: socio-demographic and cross-cultural determinants of attitude toward Emotional AI in the workplace.Peter Mantello,Manh-Tung Ho,Minh-Hoang Nguyen &Quan-Hoang Vuong -2023 -AI and Society 38 (1):97-119.
    Biometric technologies are becoming more pervasive in the workplace, augmenting managerial processes such as hiring, monitoring and terminating employees. Until recently, these devices consisted mainly of GPS tools that track location, software that scrutinizes browser activity and keyboard strokes, and heat/motion sensors that monitor workstation presence. Today, however, a new generation of biometric devices has emerged that can sense, read, monitor and evaluate the affective state of a worker. More popularly known by its commercial moniker, Emotional AI, the technology stems (...) from advancements in affective computing. But whereas previous generations of biometric monitoring targeted the exterior physical body of the worker, concurrent with the writings of Foucault and Hardt, we argue that emotion-recognition tools signal a far more invasive disciplinary gaze that exposes and makes vulnerable the inner regions of the worker-self. Our paper explores attitudes towards empathic surveillance by analyzing a survey of 1015 responses of future job-seekers from 48 countries with Bayesian statistics. Our findings reveal affect tools, left unregulated in the workplace, may lead to heightened stress and anxiety among disadvantaged ethnicities, gender and income class. We also discuss a stark cross-cultural discrepancy whereby East Asians, compared to Western subjects, are more likely to profess a trusting attitude toward EAI-enabled automated management. While this emerging technology is driven by neoliberal incentives to optimize the worksite and increase productivity, ultimately, empathic surveillance may create more problems in terms of algorithmic bias, opaque decisionism, and the erosion of employment relations. Thus, this paper nuances and extends emerging literature on emotion-sensing technologies in the workplace, particularly through its highly original cross-cultural study. (shrink)
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  • “In Our Own Little World”: Invisibility of the Social and Ethical Dimension of Engineering Among Undergraduate Students.Jae Hoon Lim,Brittany D. Hunt,Nickcoy Findlater,Peter T. Tkacik &Jerry L. Dahlberg -2021 -Science and Engineering Ethics 27 (6):1-23.
    This paper explores how undergraduate students understood the social relevance of their engineering course content knowledge and drew broader social and ethical implications from that knowledge. Based on a three-year qualitative study in a junior-level engineering class, we found that students had difficulty in acknowledging the social and ethical aspects of engineering as relevant topics in their coursework. Many students considered the immediate technical usability or improved efficiency of technical innovations as the noteworthy social and ethical implications of engineering. Findings (...) suggest that highly-structured engineering programs leave little room for undergraduate students to explore the ethical dimension of engineering content knowledge and interact with other students/programs on campus to expand their “technically-minded” perspective. We discussed the issues of the “culture of disengagement” :42–72, 2014) fueled by disciplinary elitism, spatial distance, and insulated curriculum prevalent in the current structure of engineering programs. We called for more conscious effort by engineering educators to offer meaningful interdisciplinary engagement opportunities and in-class conversations on ethics that support engineering students' holistic intellectual growth and well-rounded professional ethics. (shrink)
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  • The Roles of Implicit Understanding of Engineering Ethics in Student Teams’ Discussion.Eun Ah Lee,Magdalena Grohman,Nicholas R. Gans,Marco Tacca &Matthew J. Brown -2017 -Science and Engineering Ethics 23 (6):1755-1774.
    Following previous work that shows engineering students possess different levels of understanding of ethics—implicit and explicit—this study focuses on how students’ implicit understanding of engineering ethics influences their team discussion process, in cases where there is significant divergence between their explicit and implicit understanding. We observed student teams during group discussions of the ethical issues involved in their engineering design projects. Through the micro-scale discourse analysis based on cognitive ethnography, we found two possible ways in which implicit understanding influenced the (...) discussion. In one case, implicit understanding played the role of intuitive ethics—an intuitive judgment followed by reasoning. In the other case, implicit understanding played the role of ethical insight, emotionally guiding the direction of the discussion. In either case, however, implicit understanding did not have a strong influence, and the conclusion of the discussion reflected students’ explicit understanding. Because students’ implicit understanding represented broader social implication of engineering design in both cases, we suggest to take account of students’ relevant implicit understanding in engineering education, to help students become more socially responsible engineers. (shrink)
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  • Ethical Risk Management Education in Engineering: A Systematic Review.Yoann Guntzburger,Thierry C. Pauchant &Philippe A. Tanguy -2017 -Science and Engineering Ethics 23 (2):323-350.
    Risk management is certainly one of the most important professional responsibilities of an engineer. As such, this activity needs to be combined with complex ethical reflections, and this requirement should therefore be explicitly integrated in engineering education. In this article, we analyse how this nexus between ethics and risk management is expressed in the engineering education research literature. It was done by reviewing 135 articles published between 1980 and March 1, 2016. These articles have been selected from 21 major journals (...) that specialize in engineering education, engineering ethics and ethics education. Our review suggests that risk management is mostly used as an anecdote or an example when addressing ethics issues in engineering education. Further, it is perceived as an ethical duty or requirement, achieved through rational and technical methods. However, a small number of publications do offer some critical analyses of ethics education in engineering and their implications for ethical risk and safety management. Therefore, we argue in this article that the link between risk management and ethics should be further developed in engineering education in order to promote the progressive change toward more socially and environmentally responsible engineering practices. Several research trends and issues are also identified and discussed in order to support the engineering education community in this project. (shrink)
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  • Guiding Engineering Student Teams’ Ethics Discussions with Peer Advising.Eun Ah Lee,Nicholas Gans,Magdalena Grohman,Marco Tacca &Matthew J. Brown -2020 -Science and Engineering Ethics 26 (3):1743-1769.
    This study explores how peer advising affects student project teams’ discussions of engineering ethics. Peer ethics advisors from non-engineering disciplines are expected to provide diverse perspectives and to help engineering student teams engage and sustain ethics discussions. To investigate how peer advising helps engineering student teams’ ethics discussions, three student teams in different peer advising conditions were closely observed: without any advisor, with a single volunteer advisor, and with an advising team working on the ethics advising project. Micro-scale discourse analysis (...) based on cognitive ethnography was conducted to find each team’s cultural model of understanding of engineering ethics. Cultural-historical activity theory analysis was also conducted to see what influenced each team’s cultural model. In cultural model, the engineering team with an ethics advising team showed broader understanding in social implications of engineering. The results of CHAT analysis indicated that differences in rules, community, and division of labor among three teams influenced the teams’ cultural models. The CHAT analysis also indicated that the peer advisors working on the ethics advising project and the engineering team working on engineering design project created a collaborative environment. The findings indicated that collaborative environment supported peer ethics advising to facilitate team discussions of engineering ethics. (shrink)
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