The recent public release of the generative AI language model ChatGPT has captured the public imagination and has resulted in a rapid uptake and widespread experimentation by the general public and academia alike. The number of academic publications focusing on the capabilities as well as practical and ethical implications of generative AI has been growing exponentially. One of the concerns with this unprecedented growth in scholarship related to generative AI, in particular, ChatGPT, is that, in most cases, the raw data, which is the text of the original ‘conversations,’ have not been made available to the audience of the papers and thus cannot be drawn on to assess the veracity of the arguments made and the conclusions drawn therefrom. This paper provides a protocol for the documentation and archiving of these raw data.
CITATION STYLE
Spennemann, D. H. R. (2023). Children of AI: A Protocol for Managing the Born-Digital Ephemera Spawned by Generative AI Language Models. Publications, 11(3). https://doi.org/10.3390/publications11030045
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