Addressing Fairness in Large Language Models

With the advancements of large language models and their increased usage, it is important that they cause no harm to any group of people. Large language models should aim to have no bias towards or against any social group since this will only harm everyone involved, with the social group having to face bias or unjust treatment, and the model possibly receiving backlash for it. Because of this, it is important to test language models for bias to see where they can improve.