See how Prolific verifies participants and stops LLM misuse in research.
As LLMs become more advanced, they're increasingly being used to generate fake responses in research studies. This creates a dangerous feedback loop where AI learns from other AI instead of real humans.
When this happens, your AI models inherit artificial thinking patterns rather than genuine human reasoning. The result is often models that perform well in the lab but fail spectacularly when real people start using them.
Our guide explains the concrete steps Prolifc takes to ensure your data comes exclusively from verified human participants.
Learn about how Prolific guarantees data quality with:
The Protocol system that continuously monitors participant behavior
Specialized team focused on identifying AI-generated content
Methods to detect responses from ChatGPT, Claude, Gemini, and emerging LLMs
The combination of content analysis and behavioral signals that catch what standalone detectors miss
Stop building AI on shaky foundations. Get the whitepaper and see how quality human data transforms your results.
