Epistemic Bias Injection: Biasing LLMs via Selective Context Retrieval

Researchers have identified a new attack vector called Epistemic Bias Injection (EBI) that manipulates AI language models by injecting factually correct but biased content into retrieval-augmented generation databases. The attack steers model outputs toward specific viewpoints while evading traditional detection methods, though a new defense mechanism called BiasDef shows promise in mitigating these threats.