Detecting AI-written prose becomes harder as language patterns converge
The rise of large language models is altering word choice and sentence structures, making AI-generated text harder to spot.
In this commentary, the writer examines how large language models disrupt the historic role of a text as a personal signal of talent and personality. Unlike plagiarism, AI-generated content does not directly injure another author, but presenting such work as entirely one's own can deceive multiple stakeholders. The author proposes that any substantive AI input in a signed piece should be disclosed, especially when the text serves social or evaluative purposes.
While acknowledging personal use of LLMs for other tasks, the essay stresses that the allure of gaining credit without effort raises ethical concerns. It also highlights practical difficulties, such as separating a writer's style from the model's training data, and warns that ignoring these issues may render human-only writing obsolete.
