LEARNER · GLOBAL
Learner: What is Latent Bias? Explained via LLM Research
'Latent bias' refers to prejudice or unfair associations embedded deep within an artificial intelligence (AI) model's internal representations, which may not always be obvious in its final output. Recent research shows that even if large language models (LLMs) appear fair in their decisions, they can still hold and amplify demographic biases internally, especially in high-stakes contexts like mortgage underwriting.
WHY IT MATTERS
Understanding latent bias is crucial for BFSI professionals to ensure ethical AI deployment, as hidden biases can lead to discriminatory outcomes despite outwardly fair performance metrics.
Source: arXiv · 2026-05-18