What social stratifications in bias blind spot can tell us about implicit social bias in both LLMs and humans.

ABSTRACT: Large language models (LLMs) are the engines behind generative Artificial Intelligence (AI) applications, the most well-known being chatbots. As conversational agents, they-much like the humans on whose data they are trained-exhibit social bias. The nature of social bias is that it unfairly represents one group over another. Explicit bias has been observed in LLMs in the form of racial and gender bias, but we know little about less visible implicit forms of social bias. Highly prevalent in society, implicit human bias is hard to mitigate due to a well-replicated phenomenon known as introspection illusion. This describes a strong propensity to underestimate biases in oneself and overestimate them in others-a form of 'bias blind spot'. In a series of studies with LLMs and humans, we measured

SUBMITTER: Bentley SV 

PROVIDER: S-EPMC12365300 | biostudies-literature | 2025 Aug

REPOSITORIES: biostudies-literature