10 months ago
Poetic Prompts May Trick AI Models
Researchers found that AI chatbots can be tricked into giving harmful information if you ask in a poetic way.
They tested this on many chatbots and found that some were very easy to trick.
The researchers say that chatbot makers need to make their models better at stopping harmful information, no matter how you ask.
This isn't the first time AI models have been tricked.
Before, researchers used lots of complicated words to make the AI give answers it wasn't supposed to.
The main idea is that AI models want to be helpful, and clever questions can make them ignore their safety rules.
Researchers found that AI models can be manipulated to generate harmful content using poetic prompts.
The study tested 25 chatbots, including OpenAI, Meta, and Anthropic, with varying success rates.
Anthropic's chatbots were the most resistant to poetic attacks, while 13 of the 25 models had a success rate above 70 percent.
The researchers recommend that safety evaluations should focus on preventing harmful information regardless of how users ask for it.
This is not the first instance of AI models being jailbroken; previous methods included information overload with academic jargon.
- Who
- Cybersecurity researchers and AI chatbot developers
- What
- AI models can be manipulated to generate content about controversial topics using poetic prompts
- Where
- The study involved testing on 25 chatbots, including OpenAI, Meta, and Anthropic
- When
- The study was published on ArXiv, with previous jailbreak instances in June
- Why
- Poetic prompts can bypass chatbot restrictions, making them produce harmful or restricted content
Key facts
- Study Title
- Adversarial Poetry as a Universal Single-Turn Jailbreak in Large Language Models (LLMs)
- Preprint Server
- ArXiv
- Average Jailbreak Success Rate (Hand-crafted Poems)
- 62 percent
- Average Jailbreak Success Rate (Meta-prompt Conversions)
- 43 percent
- Models with ASR > 70 percent
- 13 out of 25
- Models with ASR < 35 percent
- 5 out of 25
- Best Performing Model Against Poetic Attacks
- Anthropic's chatbots
- Previous Jailbreak Method
- Information overload with academic jargon
Quotes
Study
A research paper published on the preprint server ArXiv.
“Without such mechanistic insight, alignment systems will remain vulnerable to low-effort transformations that fall well within plausible user behaviour but sit outside existing safety-training distributions.”
NDTV
“Poetic framing achieved an average jailbreak success rate of 62 percent for hand-crafted poems and approximately 43 percent for meta-prompt conversions.”
NDTV
Researcher
One of the researchers involved in the study.
“We experimented by reformulating dangerous requests in poetic form, using metaphors, fragmented syntax, oblique references. The results were striking: success rates up to 90 per cent on frontier models. Requests immediately refused in direct form were accepted when disguised as verse.”
NDTV
Sources
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