AIs are more likely to mislead people if trained on human feedback 

Giving AI chatbots human feedback on their responses seems to make them better at giving convincing, but wrong, answers.

The raw output of large language models (LLMs), which power chatbots like ChatGPT, can contain biased, harmful or irrelevant information, and their style of interaction can seem unnatural to humans. To get around this, developers often get people to evaluate a model’s responses and then fine-tune it based on this feedback.