Systematic evaluation of biases and distortions in outputs generated by AI systems, with a focus on demographic discrimination, cultural stereotypes, unbalanced representations, and systemic prejudices. Covers testing methodologies for fairness, response distribution analysis across protected groups, equity metrics, and detection techniques for latent biases in generative models and LLM systems.