A Thorough Analysis of LLM Biases

Yes. All LLMs exhibit measurable biases inherited from their training data, including political leaning, cultural assumptions, and demographic stereotypes. The type and degree of bias varies by model.

Test with diverse prompts across sensitive topics, compare responses across demographic groups, and use bias benchmarks like BBQ and WinoBias. Many biases are subtle and require systematic testing to detect.

Bias can be reduced but not completely eliminated because it reflects patterns in training data. Post-training techniques like RLHF help reduce harmful biases, but tradeoffs exist.