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  1. Impact of ethics on research productivity in higher education.Driss El Kadiri Boutchich - 2021 - International Journal of Ethics Education 6 (2):253-271.
    The objective of this research is to assess the impact of ethics on research productivity within laboratories of public universities. To achieve this objective, neural networks’ method is used to highlight impacting and impacted variable modalities. Findings show ethical variables having the greatest impact on research productivity are ethics supporting document and transparency, while the variables most impacted by ethics are publications and scientific projects. Finally, the originality of this work lies in the reconciliation of two dimensions that appear to (...)
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  • Ethics washing: een introductie.Gijs van Maanen - 2020 - Algemeen Nederlands Tijdschrift voor Wijsbegeerte 112 (4):462-467.
    Amsterdam University Press is a leading publisher of academic books, journals and textbooks in the Humanities and Social Sciences. Our aim is to make current research available to scholars, students, innovators, and the general public. AUP stands for scholarly excellence, global presence, and engagement with the international academic community.
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  • AI led ethical digital transformation: framework, research and managerial implications.Kumar Saurabh, Ridhi Arora, Neelam Rani, Debasisha Mishra & M. Ramkumar - 2022 - Journal of Information, Communication and Ethics in Society 20 (2):229-256.
    Purpose Digital transformation leverages digital technologies to change current processes and introduce new processes in any organisation’s business model, customer/user experience and operational processes. Artificial intelligence plays a significant role in achieving DT. As DT is touching each sphere of humanity, AI led DT is raising many fundamental questions. These questions raise concerns for the systems deployed, how they should behave, what risks they carry, the monitoring and evaluation control we have in hand, etc. These issues call for the need (...)
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  • Dual-Use and Trustworthy? A Mixed Methods Analysis of AI Diffusion Between Civilian and Defense R&D.Christian Reuter, Thea Riebe & Stefka Schmid - 2022 - Science and Engineering Ethics 28 (2):1-23.
    Artificial Intelligence (AI) seems to be impacting all industry sectors, while becoming a motor for innovation. The diffusion of AI from the civilian sector to the defense sector, and AI’s dual-use potential has drawn attention from security and ethics scholars. With the publication of the ethical guideline Trustworthy AI by the European Union (EU), normative questions on the application of AI have been further evaluated. In order to draw conclusions on Trustworthy AI as a point of reference for responsible research (...)
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  • Physicians’ Professional Role in Clinical Care: AI as a Change Agent.Giorgia Pozzi & Jeroen van den Hoven - 2023 - American Journal of Bioethics 23 (12):57-59.
    Doernberg and Truog (2023) provide an insightful analysis of the role of medical professionals in what they call spheres of morality. While their framework is useful for inquiring into the moral de...
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  • Understanding responsibility in Responsible AI. Dianoetic virtues and the hard problem of context.Mihaela Constantinescu, Cristina Voinea, Radu Uszkai & Constantin Vică - 2021 - Ethics and Information Technology 23 (4):803-814.
    During the last decade there has been burgeoning research concerning the ways in which we should think of and apply the concept of responsibility for Artificial Intelligence. Despite this conceptual richness, there is still a lack of consensus regarding what Responsible AI entails on both conceptual and practical levels. The aim of this paper is to connect the ethical dimension of responsibility in Responsible AI with Aristotelian virtue ethics, where notions of context and dianoetic virtues play a grounding role for (...)
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