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  1. Organizational Resilience through the Philosophical Lens of Aristotelian and Heraclitean Philosophy.Vasileios Georgiadis & Lazaros Sarigiannidis - 2024 - Philosophy of Management 23 (3):377-393.
    This inquiry aims to highlight the philosophical perspective of Aristotle’s “business” priority of the organization over the individual in combination with Heraclitus’ flux theory and the unity of opposites to alternatively approach organizational resilience. While current literature on organizational resilience argues that disorganization and gradual decaying are probable but not certain, they can be predicted and managed. In contrast, the combined analysis of Aristotelian and Heraclitean philosophical theories points out that organizational disorganization and the fluctuation of resilience are a certainty (...)
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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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  • Artificial Intelligent Systems and Ethical Agency.Reena Cheruvalath - 2023 - Journal of Human Values 29 (1):33-47.
    The article examines the challenges involved in the process of developing artificial ethical agents. The process involves the creators or designing professionals, the procedures to develop an ethical agent and the artificial systems. There are two possibilities available to create artificial ethical agents: (a) programming ethical guidance in the artificial Intelligence (AI)-equipped machines and/or (b) allowing AI-equipped machines to learn ethical decision-making by observing humans. However, it is difficult to fulfil these possibilities due to the subjective nature of ethical decision-making. (...)
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  • AI and society: a virtue ethics approach.Mirko Farina, Petr Zhdanov, Artur Karimov & Andrea Lavazza - 2024 - AI and Society 39 (3):1127-1140.
    Advances in artificial intelligence and robotics stand to change many aspects of our lives, including our values. If trends continue as expected, many industries will undergo automation in the near future, calling into question whether we can still value the sense of identity and security our occupations once provided us with. Likewise, the advent of social robots driven by AI, appears to be shifting the meaning of numerous, long-standing values associated with interpersonal relationships, like friendship. Furthermore, powerful actors’ and institutions’ (...)
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  • Blame It on the AI? On the Moral Responsibility of Artificial Moral Advisors.Mihaela Constantinescu, Constantin Vică, Radu Uszkai & Cristina Voinea - 2022 - Philosophy and Technology 35 (2):1-26.
    Deep learning AI systems have proven a wide capacity to take over human-related activities such as car driving, medical diagnosing, or elderly care, often displaying behaviour with unpredictable consequences, including negative ones. This has raised the question whether highly autonomous AI may qualify as morally responsible agents. In this article, we develop a set of four conditions that an entity needs to meet in order to be ascribed moral responsibility, by drawing on Aristotelian ethics and contemporary philosophical research. We encode (...)
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  • Modernity and Contemporaneity.Evangelos D. Protopapadakis & Georgios Arabatzis (eds.) - 2022 - The NKUA Applied Philosophy Research Lab Press.
    Modernity and Contemporaneity is the 3rd volume in the Hellenic-Serbian Philosophical Dialogue Series, a project that was initiated as an emphatic token of the will and commitment to establish permanent and fruitful collaboration between two strongly bonded Departments of Philosophy, this of the National and Kapodistrian University of Athens, and that of the University of Novi Sad respectively. This collaboration was founded from the very beginning upon friendship, mutual respect and strong engagement, as well us upon our firm resolution to (...)
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  • The emperor is naked: Moral diplomacies and the ethics of AI.Constantin Vica, Cristina Voinea & Radu Uszkai - 2021 - Információs Társadalom 21 (2):83-96.
    With AI permeating our lives, there is widespread concern regarding the proper framework needed to morally assess and regulate it. This has given rise to many attempts to devise ethical guidelines that infuse guidance for both AI development and deployment. Our main concern is that, instead of a genuine ethical interest for AI, we are witnessing moral diplomacies resulting in moral bureaucracies battling for moral supremacy and political domination. After providing a short overview of what we term ‘ethics washing’ in (...)
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  • Technology and Civic Virtue.Wessel Reijers - 2023 - Philosophy and Technology 36 (4):1-22.
    Today, a major technological trend is the increasing focus on the person: technical systems personalize, customize, and tailor to the person in both beneficial and troubling ways. This trend has moved beyond the realm of commerce and has become a matter of public governance, where systems for citizen risk scoring, predictive policing, and social credit scores proliferate. What these systems have in common is that they may target the person and her ethical and political dispositions, her virtues. Virtue ethics is (...)
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  • A Virtue-Based Framework to Support Putting AI Ethics into Practice.Thilo Hagendorff - 2022 - Philosophy and Technology 35 (3):1-24.
    Many ethics initiatives have stipulated sets of principles and standards for good technology development in the AI sector. However, several AI ethics researchers have pointed out a lack of practical realization of these principles. Following that, AI ethics underwent a practical turn, but without deviating from the principled approach. This paper proposes a complementary to the principled approach that is based on virtue ethics. It defines four “basic AI virtues”, namely justice, honesty, responsibility and care, all of which represent specific (...)
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  • Reasoning about responsibility in autonomous systems: challenges and opportunities.Vahid Yazdanpanah, Enrico H. Gerding, Sebastian Stein, Mehdi Dastani, Catholijn M. Jonker, Timothy J. Norman & Sarvapali D. Ramchurn - 2023 - AI and Society 38 (4):1453-1464.
    Ensuring the trustworthiness of autonomous systems and artificial intelligence is an important interdisciplinary endeavour. In this position paper, we argue that this endeavour will benefit from technical advancements in capturing various forms of responsibility, and we present a comprehensive research agenda to achieve this. In particular, we argue that ensuring the reliability of autonomous system can take advantage of technical approaches for quantifying degrees of responsibility and for coordinating tasks based on that. Moreover, we deem that, in certifying the legality (...)
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  • Scoping Review Shows the Dynamics and Complexities Inherent to the Notion of “Responsibility” in Artificial Intelligence within the Healthcare Context.Sarah Bouhouita-Guermech & Hazar Haidar - 2024 - Asian Bioethics Review 16 (3):315-344.
    The increasing integration of artificial intelligence (AI) in healthcare presents a host of ethical, legal, social, and political challenges involving various stakeholders. These challenges prompt various studies proposing frameworks and guidelines to tackle these issues, emphasizing distinct phases of AI development, deployment, and oversight. As a result, the notion of responsible AI has become widespread, incorporating ethical principles such as transparency, fairness, responsibility, and privacy. This paper explores the existing literature on AI use in healthcare to examine how it addresses, (...)
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  • Drivers behind the public perception of artificial intelligence: insights from major Australian cities.Tan Yigitcanlar, Kenan Degirmenci & Tommi Inkinen - forthcoming - AI and Society:1-21.
    Artificial intelligence is not only disrupting industries and businesses, particularly the ones have fallen behind the adoption, but also significantly impacting public life as well. This calls for government authorities pay attention to public opinions and sentiments towards AI. Nonetheless, there is limited knowledge on what the drivers behind the public perception of AI are. Bridging this gap is the rationale of this paper. As the methodological approach, the study conducts an online public perception survey with the residents of Sydney, (...)
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  • The existence of manual mode increases human blame for AI mistakes.Mads N. Arnestad, Samuel Meyers, Kurt Gray & Yochanan E. Bigman - 2024 - Cognition 252 (C):105931.
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