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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 (...)
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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 (...)
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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 (...)
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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 (...)
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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 (...)
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