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Ethics of generative AI
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  • Published on:
    Some negatives of generative AI
    • Chris T. Zielinski, Vice President, World Association of Medical Editors Visiting Fellow,. University of Winchester

    The article on the ethics of generative AI should be read in tandem with the recommendations on “Chatbots, ChatGPT, and Scholarly Manuscripts” issued by the World Association of Medical Editors (https://wame.org/page3.php?id=106).

    While acknowledging the positive contribution chatbots can make to the development of texts on ethics and other academic fields, I would cite a few key negatives:

    1) Chatbots like ChatGPT appear to be biased in favour of what they are proposing. This bias is evidenced in the references they provide, which uniformly support the point of view expressed by the chatbot. References opposing the point of view are not provided. This is probably inherent in the instructions in the algorithms applied by a chatbot, which must be along the lines of “provide an argument and supporting evidence”. No doubt this tendency to bias can be cured in future editions of the chatbot.
    2) Chatbots have been found to invent references where there are none. This is puzzling. Why did the programmers allow that? This should be an easy fix.
    3) Chatbots are only as up to date in their references as their programming (their “training”). For ChatGPT, the cut-off date is sometime in mid-2021 – anything that appeared later than their training material that is simply not in their universe. In fast-moving fields, thus, there is a strong risk that what is asserted in the chatbot’s output has been superseded by...

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    Conflict of Interest:
    None declared.

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