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  1. Fostering ethical reflection on health data research through co-design: A pilot study.Joanna Sleigh & Julia Amann - 2022 - International Journal of Ethics Education 7 (2):325-342.
    Health research ethics training is highly variable, with some researchers receiving little to none, which is why ethical frameworks represent critical tools for ethical deliberation and guiding responsible practice. However, these documents' voluntary and abstract nature can leave health researchers seeking more operationalised guidance, such as in the form of checklists, even though this approach does not support reflection on the meaning of principles nor their implications. In search of more reflective and participatory practices in a pandemic context with distance (...)
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  • Shifting Foci of Ethical Concerns: A New Generation Enters the Corporate World.Jennifer Franczak & Doreen E. Shanahan - forthcoming - Ethics and Behavior:1-21.
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  • Artificial Intelligence and Declined Guilt: Retailing Morality Comparison Between Human and AI.Marilyn Giroux, Jungkeun Kim, Jacob C. Lee & Jongwon Park - 2022 - Journal of Business Ethics 178 (4):1027-1041.
    Several technological developments, such as self-service technologies and artificial intelligence, are disrupting the retailing industry by changing consumption and purchase habits and the overall retail experience. Although AI represents extraordinary opportunities for businesses, companies must avoid the dangers and risks associated with the adoption of such systems. Integrating perspectives from emerging research on AI, morality of machines, and norm activation, we examine how individuals morally behave toward AI agents and self-service machines. Across three studies, we demonstrate that consumers’ moral concerns (...)
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  • The Implications of Diverse Human Moral Foundations for Assessing the Ethicality of Artificial Intelligence.Jake B. Telkamp & Marc H. Anderson - 2022 - Journal of Business Ethics 178 (4):961-976.
    Organizations are making massive investments in artificial intelligence, and recent demonstrations and achievements highlight the immense potential for AI to improve organizational and human welfare. Yet realizing the potential of AI necessitates a better understanding of the various ethical issues involved with deciding to use AI, training and maintaining it, and allowing it to make decisions that have moral consequences. People want organizations using AI and the AI systems themselves to behave ethically, but ethical behavior means different things to different (...)
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  • Advertising Benefits from Ethical Artificial Intelligence Algorithmic Purchase Decision Pathways.Waymond Rodgers & Tam Nguyen - 2022 - Journal of Business Ethics 178 (4):1043-1061.
    Artificial intelligence has dramatically changed the way organizations communicate, understand, and interact with their potential consumers. In the context of this trend, the ethical considerations of advertising when applying AI should be the core question for marketers. This paper discusses six dominant algorithmic purchase decision pathways that align with ethical philosophies for online customers when buying a product/goods. The six ethical positions include: ethical egoism, deontology, relativist, utilitarianism, virtue ethics, and ethics of care. Furthermore, this paper launches an “intelligent advertising” (...)
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  • Employee Perceptions of the Effective Adoption of AI Principles.Stephanie Kelley - 2022 - Journal of Business Ethics 178 (4):871-893.
    This study examines employee perceptions on the effective adoption of artificial intelligence principles in their organizations. 49 interviews were conducted with employees of 24 organizations across 11 countries. Participants worked directly with AI across a range of positions, from junior data scientist to Chief Analytics Officer. The study found that there are eleven components that could impact the effective adoption of AI principles in organizations: communication, management support, training, an ethics office, a reporting mechanism, enforcement, measurement, accompanying technical processes, a (...)
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  • From Greenwashing to Machinewashing: A Model and Future Directions Derived From Reasoning by Analogy.Peter Seele & Mario D. Schultz - 2022 - Journal of Business Ethics 178 (4):1063-1089.
    This article proposes a conceptual mapping to outline salient properties and relations that allow for a knowledge transfer from the well-established greenwashing phenomenon to the more recent machinewashing. We account for relevant dissimilarities, indicating where conceptual boundaries may be drawn. Guided by a “reasoning by analogy” approach, the article addresses the structural analogy and machinewashing idiosyncrasies leading to a novel and theoretically informed model of machinewashing. Consequently, machinewashing is defined as a strategy that organizations adopt to engage in misleading behavior (...)
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  • Ethical Perceptions of AI in Hiring and Organizational Trust: The Role of Performance Expectancy and Social Influence.Maria Figueroa-Armijos, Brent B. Clark & Serge P. da Motta Veiga - forthcoming - Journal of Business Ethics:1-19.
    The use of artificial intelligence in hiring entails vast ethical challenges. As such, using an ethical lens to study this phenomenon is to better understand whether and how AI matters in hiring. In this paper, we examine whether ethical perceptions of using AI in the hiring process influence individuals’ trust in the organizations that use it. Building on the organizational trust model and the unified theory of acceptance and use of technology, we explore whether ethical perceptions are shaped by individual (...)
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