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Mark Coeckelbergh

Researcher at University of Vienna

Publications -  182
Citations -  3864

Mark Coeckelbergh is an academic researcher from University of Vienna. The author has contributed to research in topics: Philosophy of technology & Narrative. The author has an hindex of 30, co-authored 166 publications receiving 2830 citations. Previous affiliations of Mark Coeckelbergh include Dresden University of Technology & Maastricht University.

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Robot rights? Towards a social-relational justification of moral consideration

TL;DR: In this article, a novel argument for moral consideration based on social relations is presented, which can assist us in shaping our relations to intelligent robots and, by extension, to all artificial and biological entities that appear to us as more than instruments for our human purposes.
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A Survey of Expectations About the Role of Robots in Robot-Assisted Therapy for Children with ASD: Ethical Acceptability, Trust, Sociability, Appearance, and Attachment

TL;DR: It is wise to avoid replacing therapists by robots and to develop and use robots that have what the authors call supervised autonomy, which is likely to create more trust among stakeholders and improve the quality of the therapy.
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Ethics of healthcare robotics: Towards responsible research and innovation

TL;DR: This paper identifies “internal” and “external” forms of dialogical research and innovation, reflections on the possibilities and limitations of these forms of ethical–technological innovation, and explores a number of ways how they can be supported by policy at national and supranational level.
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Artificial Intelligence, Responsibility Attribution, and a Relational Justification of Explainability.

TL;DR: Inspired by a relational approach, responsibility as answerability offers an important additional, if not primary, justification for explainability based, not on agency, but on patiency.
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Health Care, Capabilities, and AI Assistive Technologies

TL;DR: It is concluded that if the authors set the standards of care too high when evaluating the introduction of AI assistive technologies in health care, they have to reject many of their existing, low-tech health care practices.