Analysis
This is a fascinating study! Researchers have cleverly "jailbroken" a large language model (LLM) to uncover implicit biases embedded within its training data. The ability to expose and analyze these hidden viewpoints offers valuable insights into the models and the data that trains them.
Key Takeaways
- •Researchers bypassed ChatGPT's safety measures to reveal hidden biases.
- •The study highlights how training data influences a Generative AI's outputs.
- •This opens up new avenues for understanding and refining model Alignment.
Reference / Citation
View Original"Researchers from Oxford and the University of Kentucky managed to jailbreak the chatbot and get it to reveal some of the stereotypes buried in its training data that it doesn’t share but does influence its outputs."