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  1. Value Sensitive Design to Achieve the UN SDGs with AI: A Case of Elderly Care Robots.Steven Umbrello, Marianna Capasso, Maurizio Balistreri, Alberto Pirni & Federica Merenda - 2021 - Minds and Machines 31 (3):395-419.
    Healthcare is becoming increasingly automated with the development and deployment of care robots. There are many benefits to care robots but they also pose many challenging ethical issues. This paper takes care robots for the elderly as the subject of analysis, building on previous literature in the domain of the ethics and design of care robots. Using the value sensitive design approach to technology design, this paper extends its application to care robots by integrating the values of care, values that (...)
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  • Artifacts and Affordances: From Designed Properties to Possibilities for Action.Fabio Tollon - 2021 - AI and Society 2:1-10.
    In this paper I critically evaluate the value neutrality thesis regarding technology, and find it wanting. I then introduce the various ways in which artifacts can come to influence moral value, and our evaluation of moral situations and actions. Here, following van de Poel and Kroes, I introduce the idea of value sensitive design. Specifically, I show how by virtue of their designed properties, artifacts may come to embody values. Such accounts, however, have several shortcomings. In agreement with Michael Klenk, (...)
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  • Introduction to the Special Issue on Intercultural Digital Ethics.Nikita Aggarwal - 2020 - Philosophy and Technology 33 (4):547-550.
    Recent advances in the capability of digital information technologies—particularly due to advances in artificial intelligence —have invigorated the debate on the ethical issues surrounding their use. However, this debate has often been dominated by ‘Western’ ethical perspectives, values and interests, to the exclusion of broader ethical and socio-cultural perspectives. This imbalance carries the risk that digital technologies produce ethical harms and lack social acceptance, when the ethical norms and values designed into these technologies collide with those of the communities in (...)
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  • Leveraging Artificial Intelligence in Marketing for Social Good—An Ethical Perspective.Erik Hermann - forthcoming - Journal of Business Ethics:1-19.
    Artificial intelligence is shaping strategy, activities, interactions, and relationships in business and specifically in marketing. The drawback of the substantial opportunities AI systems and applications provide in marketing are ethical controversies. Building on the literature on AI ethics, the authors systematically scrutinize the ethical challenges of deploying AI in marketing from a multi-stakeholder perspective. By revealing interdependencies and tensions between ethical principles, the authors shed light on the applicability of a purely principled, deontological approach to AI ethics in marketing. To (...)
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  • Artificial Intelligence Regulation: A Framework for Governance.Patricia Gomes Rêgo de Almeida, Carlos Denner dos Santos & Josivania Silva Farias - forthcoming - Ethics and Information Technology.
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  • The Ethics of Algorithms: Key Problems and Solutions.Andreas Tsamados, Nikita Aggarwal, Josh Cowls, Jessica Morley, Huw Roberts, Mariarosaria Taddeo & Luciano Floridi - 2021 - AI and Society.
    Research on the ethics of algorithms has grown substantially over the past decade. Alongside the exponential development and application of machine learning algorithms, new ethical problems and solutions relating to their ubiquitous use in society have been proposed. This article builds on a review of the ethics of algorithms published in 2016, 2016). The goals are to contribute to the debate on the identification and analysis of the ethical implications of algorithms, to provide an updated analysis of epistemic and normative (...)
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  • In the Frame: The Language of AI.Helen Bones, Susan Ford, Rachel Hendery, Kate Richards & Teresa Swist - forthcoming - Philosophy and Technology.
    In this article, drawing upon a feminist epistemology, we examine the critical roles that philosophical standpoint, historical usage, gender, and language play in a knowledge arena which is increasingly opaque to the general public. Focussing on the language dimension in particular, in its historical and social dimensions, we explicate how some keywords in use across artificial intelligence discourses inform and misinform non-expert understandings of this area. The insights gained could help to imagine how AI technologies could be better conceptualised, explained, (...)
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  • Three Philosophical Perspectives on the Relation Between Technology and Society, and How They Affect the Current Debate About Artificial Intelligence.Ibo van de Poel - 2020 - Human Affairs 30 (4):499-511.
    Three philosophical perspectives on the relation between technology and society are distinguished and discussed: 1) technology as an autonomous force that determines society; 2) technology as a human construct that can be shaped by human values, and 3) a co-evolutionary perspective on technology and society where neither of them determines the other. The historical evolution of the three perspectives is discussed and it is argued that all three are still present in current debates about technological change and how it may (...)
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  • Weak Signal-Oriented Investigation of Ethical Dissonance Applied to Unsuccessful Mobility Experiences Linked to Human–Machine Interactions.F. Vanderhaegen - 2021 - Science and Engineering Ethics 27 (1):1-25.
    Ethical dissonance arises from conflicts between beliefs or behaviors and affects ethical factors such as normality or conformity. This paper proposes a weak signal-oriented framework to investigate ethical dissonance from experiences linked to human–machine interactions. It is based on a systems engineering principle called human-systems inclusion, which considers any experience feedback of weak signals as beneficial to learn. The framework studies weak signal-based scenarios from testimonies of individual experiences and these scenarios are assessed by other people. For this purpose, the (...)
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  • Neuroethics: Fostering Collaborations to Enable Neuroscientific Discovery.Nita Farahany & Khara M. Ramos - 2020 - American Journal of Bioethics Neuroscience 11 (3):148-154.
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