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  1. AI Moral Enhancement: Upgrading the Socio-Technical System of Moral Engagement.Richard Volkman & Katleen Gabriels - 2023 - Science and Engineering Ethics 29 (2):1-14.
    Several proposals for moral enhancement would use AI to augment (auxiliary enhancement) or even supplant (exhaustive enhancement) human moral reasoning or judgment. Exhaustive enhancement proposals conceive AI as some self-contained oracle whose superiority to our own moral abilities is manifest in its ability to reliably deliver the ‘right’ answers to all our moral problems. We think this is a mistaken way to frame the project, as it presumes that we already know many things that we are still in the process (...)
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  • Is Academic Enhancement Possible by Means of Generative AI-Based Digital Twins?Sven Nyholm - 2023 - American Journal of Bioethics 23 (10):44-47.
    Large Language Models (LLMs) “assign probabilities to sequences of text. When given some initial text, they use these probabilities to generate new text. Large language models are language models u...
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  • AUTOGEN: A Personalized Large Language Model for Academic Enhancement—Ethics and Proof of Principle.Sebastian Porsdam Mann, Brian D. Earp, Nikolaj Møller, Suren Vynn & Julian Savulescu - 2023 - American Journal of Bioethics 23 (10):28-41.
    Large language models (LLMs) such as ChatGPT or Google’s Bard have shown significant performance on a variety of text-based tasks, such as summarization, translation, and even the generation of new...
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  • The Hidden Costs of ChatGPT: A Call for Greater Transparency.Matthew Elmore - 2023 - American Journal of Bioethics 23 (10):47-49.
    For decades, healthcare has relied on data-driven algorithms to guide clinical practice. Recent advances in machine learning have opened up new possibilities in the field, enabling detailed analyse...
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  • All too human? Identifying and mitigating ethical risks of Social AI.Henry Shevlin - manuscript
    This paper presents an overview of the risks and benefits of Social AI, understood as conversational AI systems that cater to human social needs like romance, companionship, or entertainment. Section 1 of the paper provides a brief history of conversational AI systems and introduces conceptual distinctions to help distinguish varieties of Social AI and pathways to their deployment. Section 2 of the paper adds further context via a brief discussion of anthropomorphism and its relevance to assessment of human-chatbot relationships. Section (...)
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