Publish with AUTOGEN or Perish? Some Pitfalls to Avoid in the Pursuit of Academic Enhancement via Personalized Large Language Models

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This article refers to:

AUTOGEN: A Personalized Large Language Model for Academic Enhancement—Ethics and Proof of Principle

This article is referred to by:

AUTOGEN and the Ethics of Co-Creation with Personalized LLMs—Reply to the Commentaries

Notes

1 This may in turn imply a differential impact on highly interdisciplinary fields like Bioethics, which encompasses a wide variety of different approaches.

2 I assume that even a fine-tuned LLM would need to have been trained mostly on writings other than the researcher’s own, if it is to prove useful for idea generation. Also, it is not clear that personalized LLMs can help avoid the homogenization problem with regards to thought as they can in relation to writing styles. Faithfully replicating a user’s reasoning and creative abilities seems significantly more challenging than merely replicating their way of writing. Achieving the former may entail crossing the key threshold of artificial general intelligence or AGI (Mclean et al. 2023).

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