Definition
The systematic process of identifying skewed patterns, non-neutral distributions, or unfair representations within the retrieved context (RAG) or an agent's reasoning steps. In production pipelines, this involves auditing the alignment between the source documents and the final response to prevent the amplification of training-set prejudices or 'positional bias' in vector retrieval.
Focuses on 'Retrieval Bias' and 'Output Skew' within the AI stack rather than general human sociological bias.
"A gold-panner's sieve that catches heavy, unwanted sediment to ensure only the pure nuggets of objective, grounded facts remain."
- Hallucination(Consequence of Unchecked Bias)
- Faithfulness Metric(Evaluation Component)
- Re-ranking(Mitigation Strategy)
- Position Bias(Specific Component (Retrieval order influence))
Conceptual Overview
The systematic process of identifying skewed patterns, non-neutral distributions, or unfair representations within the retrieved context (RAG) or an agent's reasoning steps. In production pipelines, this involves auditing the alignment between the source documents and the final response to prevent the amplification of training-set prejudices or 'positional bias' in vector retrieval.
Disambiguation
Focuses on 'Retrieval Bias' and 'Output Skew' within the AI stack rather than general human sociological bias.
Visual Analog
A gold-panner's sieve that catches heavy, unwanted sediment to ensure only the pure nuggets of objective, grounded facts remain.