There are no lossless transformations of natural-language text
· Source: Simon Willison
The transformation of text into natural language through artificial intelligence is not a process without losses. Each time a text is rewritten or rephrased, its meaning changes, which can lead to the loss of important information. This is particularly relevant when using artificial intelligence to assist with writing, as it is essential to ensure that the final text reflects the author’s original ideas and thoughts.
A key principle for the acceptable use of artificial intelligence in writing is that the author must be behind each idea and sentence in the document. This means that authorship of a phrase or idea cannot be attributed to the artificial intelligence, but rather the author must assume responsibility for ensuring the text is representative of their own thoughts.
The importance of this issue lies in the fact that information loss during text transformation can lead to confusion and misunderstandings. Therefore, it is essential to be aware of the limitations of artificial intelligence in writing and ensure that final texts are accurate and reflect the author’s intentions. This is especially crucial in contexts where clarity and precision are fundamental, such as technical documentation or professional communication.
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