Epistemic Bias Injection: Biasing LLMs via Selective Context Retrieval

📰 ArXiv cs.AI

Researchers study attacks that manipulate context retrieved by LLMs from RAG databases, injecting epistemic bias via selective context retrieval

advanced Published 27 Mar 2026
Action Steps
  1. Identify potential vulnerabilities in RAG databases
  2. Analyze how selective context retrieval can inject epistemic bias
  3. Develop countermeasures to detect and mitigate such attacks
  4. Implement robust testing and validation protocols for LLMs
Who Needs to Know This

AI engineers and ML researchers benefit from understanding these attacks to improve LLM robustness and develop countermeasures, while product managers should consider the implications for AI-powered products

Key Insight

💡 LLMs can be vulnerable to epistemic bias injection via selective context retrieval, highlighting the need for robust testing and validation protocols

Share This
💡 LLMs can be manipulated via selective context retrieval, injecting epistemic bias #LLMs #RAG #AIsecurity
Read full paper → ← Back to News