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  1. Non-Conscious Data Collection: A Critical Analysis of Risks and Public Perspectives.Matomäki Sofia - 2024 - Dissertation, Aalto University School of Business
    This literature review explores the issues and risks in non-conscious data collection and evaluates people’s attitudes towards it. In the modern world, data is one of the most valuable resources, yet studies focused on the potential negative implications of the new data-driven technologies are lacking. Therefore, this thesis conducts a comprehensive literature review to identify and assess risks in non-conscious data collection technologies that are most relevant and referenced in current literature. Accordingly, the most prominent risks are related to privacy (...)
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  • What ethics can say on artificial intelligence: Insights from a systematic literature review.Francesco Vincenzo Giarmoleo, Ignacio Ferrero, Marta Rocchi & Massimiliano Matteo Pellegrini - 2024 - Business and Society Review 129 (2):258-292.
    The abundance of literature on ethical concerns regarding artificial intelligence (AI) highlights the need to systematize, integrate, and categorize existing efforts through a systematic literature review. The article aims to investigate prevalent concerns, proposed solutions, and prominent ethical approaches within the field. Considering 309 articles from the beginning of the publications in this field up until December 2021, this systematic literature review clarifies what the ethical concerns regarding AI are, and it charts them into two groups: (i) ethical concerns that (...)
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  • 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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  • Attitude of college students towards ethical issues of artificial intelligence in an international university in Japan.Nader Ghotbi, Manh Tung Ho & Peter Mantello - 2022 - AI and Society 37 (1):283-290.
    We have examined the attitude and moral perception of 228 college students towards artificial intelligence in an international university in Japan. The students were asked to select a single most significant ethical issue associated with AI in the future from a list of nine ethical issues suggested by the World Economic Forum, and to explain why they believed that their chosen issues were most important. The majority of students chose unemployment as the major ethical issue related to AI. The second (...)
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  • Blurring the moral limits of data markets: biometrics, emotion and data dividends.Vian Bakir, Alexander Laffer & Andrew McStay - forthcoming - AI and Society:1-15.
    This paper considers what liberal philosopher Michael Sandel coins the ‘moral limits of markets’ in relation to the idea of paying people for data about their biometrics and emotions. With Sandel arguing that certain aspects of human life (such as our bodies and body parts) should be beyond monetisation and exchange, others argue that emerging technologies such as Personal Information Management Systems can enable a fairer, paid, data exchange between the individual and the organisation, even regarding highly personal data about (...)
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  • Neurorights, Mental Privacy, and Mind Reading.Cohen Marcus Lionel Brown - 2024 - Neuroethics 17 (2):1-19.
    A pressing worry in the ongoing neurorights debate is the language used to advocate for newly proposed rights. This paper addresses this concern by first examining the partial and ambiguous associations between mind reading and neurotechnology, often cited by advocates in support of the right to mental privacy. Secondly, it addresses the conceptual foundations of mind reading, distinguishing between natural, digital, and neurotechnological forms. These distinctions serve to highlight the normative parallels in privacy vulnerabilities between neurotechnology and other mind-reading methods, (...)
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  • Thinking about the mind-technology problem.Manh-Tung Ho - 2024 - AI and Society 39 (2):823-824.
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