This research introduces a Bias-Aware Agent approach to enhance fairness in AI-driven knowledge systems, addressing critical concerns as LLMs increasingly replace traditional search engines.

• Detects and highlights potential biases in information retrieved by large language models
• Promotes transparency by flagging biased content before users consume it
• Creates a framework for more responsible AI information systems
• Improves security by reducing risks of misinformation propagation

For security professionals, this work offers practical methods to implement bias detection guardrails, reducing vulnerability to manipulated information and strengthening trust in AI-powered knowledge systems.

Bias-Aware Agent: Enhancing Fairness in AI-Driven Knowledge Retrieval