What’s of interest? How LLMs Distort Our Written Language
More details (Unless otherwise noted, this description is copied directly from the tagged web site)
LLMs are used by over a billion people globally, and the most frequent use case is to assist with writing. LLMs can provide a huge efficiency boost, but are they actually writing what we want?
Many users recognize the “feel” of LLM prose, but few people realize the extent to which LLMs distort the meaning of writing. We find this across three datasets: a human user study, a dataset of human argumentative essays, and reviews from a top machine learning conference.
These results present a troubling picture of AI subtly distorting our written language, and with it, our cultural institutions.
AI-generated content has infiltrated parliamentary speeches, song lyrics, movie scripts, spoken language, and even messages we send to our coworkers and loved ones. What kind of content is prioritized?
Even though people who rely heavily on AI recognize that it diminishes their voice and creativity, they are nevertheless equally satisfied with the results.
The ease of use, combined with the potential to accelerate individual careers, is likely to continue to incentivize people to produce AI-generated text, and even to attempt to pass it off as their own in professional contexts, as the ICLR data shows.
Where is it?: How LLMs Distort Our Written Language
This is one among many items I regularly tag in Pinboard as oegconnect, and automatically post tagged as #OEGConnect to Mastodon. Do you know of something else we should share like this? Just reply below and we will check it out.
Or share it directly to the OEG Connect Sharing Zone