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  1. KI:Text: Diskurse über KI-Textgeneratoren.Gerhard Schreiber & Lukas Ohly (eds.) - 2024 - De Gruyter.
    Wenn Künstliche Intelligenz (KI) Texte generieren kann, was sagt das darüber, was ein Text ist? Worin unterscheiden sich von Menschen geschriebene und mittels KI generierte Texte? Welche Erwartungen, Befürchtungen und Hoffnungen hegen Wissenschaften, wenn in ihren Diskursen KI-generierte Texte rezipiert werden und Anerkennung finden, deren Urheberschaft und Originalität nicht mehr eindeutig definierbar sind? Wie verändert sich die Arbeit mit Quellen und welche Konsequenzen ergeben sich daraus für die Kriterien wissenschaftlicher Textarbeit und das Verständnis von Wissenschaft insgesamt? Welche Chancen, Grenzen und (...)
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  • Editors’ Statement on the Responsible Use of Generative AI Technologies in Scholarly Journal Publishing.Gregory E. Kaebnick, David Christopher Magnus, Audiey Kao, Mohammad Hosseini, David Resnik, Veljko Dubljević, Christy Rentmeester, Bert Gordijn & Mark J. Cherry - 2023 - American Journal of Bioethics 24 (3):5-8.
    The new generative artificial intelligence (AI) tools, and especially the large language models (LLMs) of which ChatGPT is the most prominent example, have the potential to transform many aspects o...
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  • Why We Should Understand Conversational AI as a Tool.Marlies N. van Lingen, Noor A. A. Giesbertz, J. Peter van Tintelen & Karin R. Jongsma - 2023 - American Journal of Bioethics 23 (5):22-24.
    The introduction of chatGPT illustrates the rapid developments within Conversational Artificial Intelligence (CAI) technologies (Gordijn and Have 2023). Ethical reflection and analysis of CAI are c...
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  • Editors’ statement on the responsible use of generative AI technologies in scholarly journal publishing.Gregory E. Kaebnick, David Christopher Magnus, Audiey Kao, Mohammad Hosseini, David Resnik, Veljko Dubljević, Christy Rentmeester, Bert Gordijn & Mark J. Cherry - 2023 - Medicine, Health Care and Philosophy 26 (4):499-503.
    Generative artificial intelligence (AI) has the potential to transform many aspects of scholarly publishing. Authors, peer reviewers, and editors might use AI in a variety of ways, and those uses might augment their existing work or might instead be intended to replace it. We are editors of bioethics and humanities journals who have been contemplating the implications of this ongoing transformation. We believe that generative AI may pose a threat to the goals that animate our work but could also be (...)
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  • Editors’ Statement on the Responsible Use of Generative AI Technologies in Scholarly Journal Publishing.Gregory E. Kaebnick, David Christopher Magnus, Audiey Kao, Mohammad Hosseini, David Resnik, Veljko Dubljević, Christy Rentmeester, Bert Gordijn & Mark J. Cherry - 2023 - Hastings Center Report 53 (5):3-6.
    Generative artificial intelligence (AI) has the potential to transform many aspects of scholarly publishing. Authors, peer reviewers, and editors might use AI in a variety of ways, and those uses might augment their existing work or might instead be intended to replace it. We are editors of bioethics and humanities journals who have been contemplating the implications of this ongoing transformation. We believe that generative AI may pose a threat to the goals that animate our work but could also be (...)
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  • Editors’ Statement on the Responsible Use of Generative AI Technologies in Scholarly Journal Publishing.Gregory E. Kaebnick, David Christopher Magnus, Audiey Kao, Mohammad Hosseini, David Resnik, Veljko Dubljević, Christy Rentmeester, Bert Gordijn & Mark J. Cherry - 2023 - American Journal of Bioethics Neuroscience 14 (4):337-340.
    The new generative artificial intelligence (AI) tools, and especially the large language models (LLMs) of which ChatGPT is the most prominent example, have the potential to transform many aspects o...
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  • ChatGPT: deconstructing the debate and moving it forward.Mark Coeckelbergh & David J. Gunkel - forthcoming - AI and Society:1-11.
    Large language models such as ChatGPT enable users to automatically produce text but also raise ethical concerns, for example about authorship and deception. This paper analyses and discusses some key philosophical assumptions in these debates, in particular assumptions about authorship and language and—our focus—the use of the appearance/reality distinction. We show that there are alternative views of what goes on with ChatGPT that do not rely on this distinction. For this purpose, we deploy the two phased approach of deconstruction and (...)
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