How do LLM systems evaluate and mitigate bias in generated outputs?

Bias mitigation systems identify unfair patterns in model outputs and apply training, evaluation, and policy controls to reduce harmful behavior.

LLMs learn from internet-scale datasets that contain:

As a result, models may generate biased outputs involving:

Bias mitigation is difficult because:

Mitigation strategies include:

Removing harmful training examples.

2.…