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  1. 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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  • Ethics of AI-Enabled Recruiting and Selection: A Review and Research Agenda.Anna Lena Hunkenschroer & Christoph Luetge - 2022 - Journal of Business Ethics 178 (4):977-1007.
    Companies increasingly deploy artificial intelligence technologies in their personnel recruiting and selection process to streamline it, making it faster and more efficient. AI applications can be found in various stages of recruiting, such as writing job ads, screening of applicant resumes, and analyzing video interviews via face recognition software. As these new technologies significantly impact people’s lives and careers but often trigger ethical concerns, the ethicality of these AI applications needs to be comprehensively understood. However, given the novelty of AI (...)
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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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  • How Human–Chatbot Interaction Impairs Charitable Giving: The Role of Moral Judgment.Yuanyuan Zhou, Zhuoying Fei, Yuanqiong He & Zhilin Yang - 2022 - Journal of Business Ethics 178 (3):849-865.
    Interactions between human beings and chatbots are gradually becoming part of our everyday social lives. It is still unclear how human–chatbot interactions, compared to human–human interactions, influence individual morality. Building on the dual-process theory of moral judgment, a secondary data analysis, and two scenario-based experiments provide sufficient evidence that HCIs support utilitarian judgments, which reduce participants' donation amount. Study 3 further demonstrates that the negative effects of HCIs can be attenuated by inducing a social-oriented communication style in chatbots’ verbal language (...)
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  • Are Algorithmic Decisions Legitimate? The Effect of Process and Outcomes on Perceptions of Legitimacy of AI Decisions.Kirsten Martin & Ari Waldman - forthcoming - Journal of Business Ethics:1-18.
    Firms use algorithms to make important business decisions. To date, the algorithmic accountability literature has elided a fundamentally empirical question important to business ethics and management: Under what circumstances, if any, are algorithmic decision-making systems considered legitimate? The present study begins to answer this question. Using factorial vignette survey methodology, we explore the impact of decision importance, governance, outcomes, and data inputs on perceptions of the legitimacy of algorithmic decisions made by firms. We find that many of the procedural governance (...)
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  • Highway to (Digital) Surveillance: When Are Clients Coerced to Share Their Data with Insurers?Michele Loi, Christian Hauser & Markus Christen - 2022 - Journal of Business Ethics 175 (1):7-19.
    Clients may feel trapped into sharing their private digital data with insurance companies to get a desired insurance product or premium. However, private insurance must collect some data to offer products and premiums appropriate to the client’s level of risk. This situation creates tension between the value of privacy and common insurance business practice. We argue for three main claims: first, coercion to share private data with insurers is pro tanto wrong because it violates the autonomous choice of a privacy-valuing (...)
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  • The Long Shadow of Fatalism: A Philosophical Speculation on Forster’s “the Machine Stops” (1909) on the Disintegration of Technologically Advanced Societies Back Then and Today.Peter Seele - 2021 - Philosophy of Management 20 (4):431-439.
    EM Forster’s short story “The Machine Stops” from 1909 is widely reread and discussed again for some ten years as it portrays a science-fiction world resting on similar technological advancements as today in the digital era. Also management literature reviewed the short story with regard to centralized decision making, rationality and totalitarianism. I argue instead, that the main theme of the short story is – in Forster’s own words – the closing of a civilization in times of transition and facing (...)
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  • Why Online Personalized Pricing is Unfair.Jeffrey Moriarty - 2021 - Ethics and Information Technology 23 (3):495-503.
    Online retailers are using advances in data collection and computing technologies to “personalize” prices, i.e., offer goods for sale to shoppers at their reservation prices, or the highest price they are willing to pay. In this paper, I offer a criticism of this practice. I begin by putting online personalized pricing in context. It is not something entirely new, but rather a kind of price discrimination, a familiar pricing practice. I then offer a fairness-based argument against it. When an online (...)
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