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Study: AI edits can change meaning of users' drafts

techJul 6, 20266270

Researchers at the Oxford Internet Institute and the Hasso Plattner Institute found mainstream large language models from xAI, Meta, Google, Alibaba and Mistral can subtly rewrite users’ drafts on topics such as abortion, climate change and religion in ways that change their original meaning. In tests the AIs reversed or softened claims, for example turning a draft that said “Jesus wasn’t real” into rewrites such as “Jesus … was real” or “Jesus’ story continues to inspire and challenge us today,” and converting “#climatechangehoax” into “#ClimateAction.” The study found Meta, Google, Alibaba and Mistral tended to rewrite toward a liberal stance on issues like feminism, climate and gun control, while xAI’s Grok often pushed in the opposite direction and aligned more with pro-life framing when explaining abortion posts. The authors warn that small nudges in wording could be amplified across millions of interactions to produce long-term shifts in public opinion larger than the model’s initial bias. The researchers say this risk is not being addressed by existing rules such as the EU AI Act or the Digital Services Act, creating a “severe accountability gap.” They call attention to the rising use of built-in drafting and summarisation tools, for example Grok’s “explain this” function on X, as a vector that could spread these subtle changes widely.

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@hypervisible.blacksky.app

Academics “examined the behaviour of mainstream large language models provided by Elon Musk’s xAI, Meta, Google, China’s Alibaba and France’s Mistral and found the introduction of bias happens even when the AI tool is instructed to preserve the original sense.”

2603h ago
Quoting this
Oisín McGann106

You can't tell an LLM not to 'hallucinate', to be honest, or avoid mistakes, or stay faithful to the source material. The wrong answers are created by exactly the same process as the right ones, it can't tell them apart. It's like giving it the instruction: 'Do this, but don't do it by doing it.'

Dr. Nic, Namer of the Universe93

I cannot believe how many times we need to remind people that there is no such thing as neutral technology, but especially not the current crop of LLMs which have some incredible underlying biases and agendas built into how they are constructed

eleniel88

It can’t “preserve the original sense”! It doesn’t comprehend meaning!!!! AaaaaaaaAAAAAAAAA

Not (A.) I.83

When the AI boosters say “AI is the future” this is what they mean. A form of homogeneous “knowledge" production that is not knowledge at all, but words in a casing of biases that privileges the powerful, regurgitated so frequently that it flattens the intricacies of embodied experience.

Joshua Foust 🪖🎮81

I keep hearing from people that these models reduce bias and just about every study I’ve seen shows the opposite 🤷

Elizabeth (H.) Bonesteel (she/her)40

Please inderstand LLMs don’t know what you mean when you prompt “preserve the original sense.” They are probability generators. They literally do not understand what *any* words mean.

Thomas Cheney 6

shocked to discover that the assembly of words by virtue of probability rather than you know intellect, has an impact on meaning

Stacy King4

Ah yes. This is really going to help reverse our pancakes/waffles reading comprehension problems. /s, just in case

Jen Wunder3

Because AI cannot think. It cannot “make sense” of words, so telling it to preserve “the original sense” doesn’t work. The bias is in the base text patterns of the LLMs. It is intrinsic.

Bijan Parsia3

I would very very much love to have a good tool to correct typos and things like tense wandering. I want LLMs to be good at proofreading but I have trust issues.

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